Alternatives to Atlarix

Compare Atlarix alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Atlarix in 2026. Compare features, ratings, user reviews, pricing, and more from Atlarix competitors and alternatives in order to make an informed decision for your business.

  • 1
    JetBrains Junie
    Junie is JetBrains' AI coding agent, built to be cost-efficient. It plans with a powerful model and implements with a faster one, so you spend fewer tokens per task while getting the same quality. On the independent SWE-Rebench benchmark, Junie resolves more real-world coding issues than other leading agents, at a lower cost per task. Junie supports the latest models from major frontier labs on day zero, so you're never waiting on integration work to use what just shipped. It works with almost any model you choose, inside IDEs like IntelliJ IDEA, directly from the terminal, or from GitHub and GitLab issues and merge requests. A human stays in the loop. Junie asks for approval before risky actions, and you can redirect it mid-task instead of starting over. Teach Junie your team's coding standards, naming conventions, and review process, and switch from another AI coding agent in seconds with no extra setup.
    Starting Price: Free
  • 2
    Amp

    Amp

    Amp Code

    Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.
  • 3
    Devin Desktop

    Devin Desktop

    Cognition

    Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.
  • 4
    GitHub Copilot
    GitHub Copilot is an AI-powered development assistant designed to accelerate software workflows from the editor to the enterprise. It works directly inside popular IDEs, terminals, and GitHub itself to help developers write, understand, and improve code faster. Copilot supports multiple leading large language models, allowing users to optimize for speed, accuracy, or cost. Developers can use Copilot to complete code, explain concepts, propose edits, and validate files in real time. It also enables agent-based workflows where Copilot can autonomously handle issues, write code, and create pull requests. With seamless integration across tools, Copilot keeps developers focused without breaking their flow. GitHub Copilot is built to scale from individual developers to large organizations with enterprise-grade controls.
    Starting Price: $10 per month
  • 5
    OpenAI Codex
    Codex is an AI-powered coding agent from OpenAI designed to help developers build, manage, and ship software more efficiently across the entire development lifecycle. It acts as an intelligent pair programmer that can understand codebases, generate features, and deliver production-ready pull requests. Codex can safely execute commands in sandboxed environments while assisting with debugging, refactoring, and testing. A key advancement is its computer use capability, allowing it to operate your computer by seeing, clicking, and typing across applications. This enables Codex to interact with tools that don’t have APIs, making it useful for tasks like frontend testing and app navigation. The platform also includes an in-app browser and integrations with various developer tools for a more unified workflow. Codex supports automation by handling ongoing tasks such as monitoring, issue triage, and follow-ups.
    Starting Price: $20/month
  • 6
    Muse Code
    Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.
    Starting Price: $1.25 per 1M tokens (input)
  • 7
    ML.ai

    ML.ai

    Pixis.ai

    Ml.ai is an AI coding agent that goes where your code goes. Use it inside VS Code and Cursor, in its own desktop app with no IDE required, from the terminal, or as a PR Reviewer that checks every pull request. Every surface runs on the same engine, with the same settings and the same memory of your repo. Most coding agents send every step to the same expensive frontier model. Ml.ai hands each step to a focused agent and picks the most cost-efficient model that meets your quality bar, which typically cuts model spend by 30 to 45% on the same work. Explore reads and explains the codebase. Architect and Plan map the files, order of work and trade-offs. Only General can change code, and every edit or command waits for you to Allow or Deny it. The PR Reviewer summarizes each pull request, leaves line-level comments, and runs builds and tests before it recommends approve or request changes. It never merges on its own. Also included: reusable skills, background runs, MCP server support.
  • 8
    Roomote

    Roomote

    Roomote

    Roomote is a source-available cloud coding agent that runs your actual development environment, verifies its work, reviews code with a different model, and returns pull requests with live previews for approval. It can be self-hosted or run in an isolated single-tenant cloud deployment, keeping teams in control of their code, prompts, tools, models, and infrastructure. Tasks can be started from the web, Slack, Microsoft Teams, Telegram, or Discord, with no local setup required, and multiple jobs can run in parallel. Each task moves through specialist roles for routing, exploration, planning, coding, and review, while users can choose different models for each role or bring their own API keys and local models. Roomote runs the actual application before calling work complete, can prepare database state for review, and provides proof through screenshots, videos, or live PR previews.
    Starting Price: $249 per month
  • 9
    Reason

    Reason

    Reason

    Reason is an autonomous software engineer and AI coding agent designed to take ownership of real engineering work, from researching codebases and fixing bugs to implementing features and verifying results. It works across connected repositories, local computers, and cloud environments, allowing developers to delegate tasks without interrupting their workflows. The agent can explore codebases, trace call paths, reproduce failures, edit files, run tests, and produce verified pull requests for human review. Its research capabilities provide evidence-backed findings with citations linking directly to source files and lines, while repository memory preserves knowledge for future sessions. Reason supports parallel subagents, isolated workspaces, scheduled sessions, and automated workflows for development and operations. Teams can connect repositories, manage permissions, inspect code changes, and review builds, regression tests, and deployment checks before merging.
  • 10
    CodeLazr

    CodeLazr

    CodeLazr

    CodeLazr is a web-based AI coding agent that edits your GitHub repos directly from the browser. No install, no cloning, no containers. Pick any OpenRouter model, including free ones, or bring your own API key. Every change is staged as a diff you review before it commits, auto-commits, or opens a pull request. CodeLazr is built to make cheap and free AI models reliable for real coding: automatic retries with a fallback chain of models, a second model that reviews each diff before commit, and detectors for the common ways weaker models fail. Includes built-in prompt templates for common tasks like fixing bugs, writing tests, refactoring, and writing docs. More than 1,400 test runs are published publicly on the CodeLazr stats page, failures included. Free plan with free models and no card required, Pro at $10 per month, or bring your own key to use it free forever.
    Starting Price: $10/month
  • 11
    Fine

    Fine

    Fine.dev

    Fine is an AI-powered development platform designed to assist startups by automating tasks throughout the software development lifecycle. It offers a range of AI agent workflows for coding, debugging, testing, and code review, allowing teams to ship daily improvements and resolve pull requests faster. Fine can autonomously create and implement code, conduct pull request reviews, generate tests, and handle common issues without constant human input. The platform integrates seamlessly with GitHub and supports asynchronous work, making it particularly suitable for fast-paced startups. With real-time feedback and live previews, Fine improves productivity and streamlines the development process.
    Starting Price: $15 per month
  • 12
    omp

    omp

    omp

    omp is an open source AI coding agent and development harness that provides developers with a powerful local environment for AI-assisted engineering. It connects AI models directly to IDE capabilities, debugging tools, code execution, language servers, browser automation, memory, and dozens of built-in development tools. It supports more than 40 AI providers while allowing developers to use a single interface across cloud and local language models. omp enhances coding performance with features such as intelligent code editing, parallel subagents, persistent execution environments, integrated debugging, and advanced code review workflows. It also includes collaborative sessions, local memory, workflow automation, browser control, and GitHub integration to streamline complex software development tasks. Built with a native Rust engine and designed for Windows, macOS, and Linux, omp helps developers build, debug, and maintain software.
    Starting Price: Free
  • 13
    Keelen

    Keelen

    Keelen

    Keelen is an autonomous coding loop. It turns free-form requests into a prioritized roadmap, breaks roadmap items into dev-ready tasks with acceptance criteria, implements each task in an isolated single-use VM using your own Claude, Codex, GLM, or Kimi credentials, and ships the result as a merged pull request, or holds it for review if that is how you configure it. Every change passes five verification gates before merge: a red-first test proof, an independent adversarial review of the diff by a model that shares no context with the run that wrote it, the project's own test suite on a clean checkout, a CI-green requirement, and a review window before gated auto-merge. The loop may never weaken a check to reach green. Each iteration runs in a single-use, non-root VM that is destroyed when the run ends, with deny-by-default network egress. Per-run GitHub tokens are scoped to one repository. Keelen is not an IDE copilot and not a chat agent.
    Starting Price: $29/month
  • 14
    Kilo Code Reviewer
    Kilo Code Reviewer is an AI-powered automated code review tool that analyzes pull requests the moment they are opened or updated, understands the changes in context, and provides actionable feedback, including inline comments, explanations, and suggestions to catch bugs, security issues, performance problems, style violations, test gaps, and documentation omissions before human review. It integrates with GitHub, GitLab, and (soon) Bitbucket, lets users choose from a wide selection of models and customize review strictness and focus areas to match team standards, and can be run locally in IDEs like VS Code or JetBrains to catch issues before commit. The setup is simple, connect a repository, select an AI model and review style, and the agent runs automatically on PRs, helping enforce coding standards consistently and complement human reviewers with instant, context-aware insights.
    Starting Price: Free
  • 15
    GitHub Copilot CLI
    GitHub Copilot CLI brings the core capabilities of the Copilot coding assistant into your terminal, enabling you to write, debug, refactor, and understand code via natural language directly in the command line. It works locally and in sync with your GitHub workflow, granting the ability to access repositories, issues, and pull requests through conversational commands while staying authenticated with your GitHub account. The tool operates as an agent in your terminal; you can ask it to autonomously create or modify files, execute commands, implement new features, fix bugs, prototype, and adjust codebases based on your specifications. Deep GitHub integration ensures context awareness (e.g., code history, branches, project layout), and the CLI experience is optimized to reduce context switching between your editor and terminal. The system supports iterative collaboration, allowing you to fine-tune or reissue commands as the project evolves.
    Starting Price: Free
  • 16
    iFlow

    iFlow

    iFlow

    iFlow is an AI-powered development and productivity platform centered around its terminal-based assistant, iFlow CLI, which enables users to interact with advanced AI models directly within their command-line environment to automate coding, analysis, and workflow execution. It is designed to understand entire codebases, interpret contextual requirements, and execute tasks ranging from simple file operations to complex multi-step automation, all driven through natural language rather than traditional commands. It integrates multiple state-of-the-art AI models, allowing users to access capabilities such as code generation, debugging, documentation, and optimization within a single interface, while maintaining compatibility with existing tools and environments like Visual Studio Code, JetBrains IDEs, and CI/CD pipelines. A key feature of the platform is its multi-agent architecture, where specialized “SubAgents” collaborate to break down and handle complex tasks in parallel.
    Starting Price: Free
  • 17
    Cursor

    Cursor

    Cursor

    Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.
    Starting Price: $20/month
  • 18
    Cosmos

    Cosmos

    Augment Code

    Cosmos by Augment Code is an AI agent orchestration platform designed to automate and coordinate software development workflows across engineering organizations. The platform enables teams to deploy specialized AI agents that handle tasks such as code generation, pull request reviews, vulnerability remediation, and incident investigation. Cosmos uses a Context Engine to provide agents with an understanding of codebases, dependencies, and existing development patterns. Its event-driven automation capabilities trigger workflows through repository activity, scheduled tasks, webhooks, and integrations with development tools. The platform supports shared organizational knowledge, isolated execution environments, and human approval checkpoints for managing automated operations. Cosmos integrates with GitHub, GitLab, Jira, Linear, Slack, and other engineering systems to connect AI agents with existing software delivery processes.
    Starting Price: $20 per month
  • 19
    dcode

    dcode

    LangChain

    dcode is an open-source terminal coding agent for developers and software teams. Built on the Deep Agents SDK, it can plan and execute coding tasks, inspect and edit project files, run tools, and delegate work to subagents. Its interactive terminal interface streams responses and lets users resume conversations across sessions; headless mode supports scripted and CI workflows. Users select a compatible model provider and supply their own credentials, then customize models, tools, plugins, skills, memory, middleware, hooks, and approval rules. Tool calls can be approved or rejected, and code can run locally or in supported remote sandboxes. dcode supports MCP tools and can connect to LangSmith for tracing prompts, responses, tool calls, errors, and token usage. It is intended for developers who want to configure and inspect an AI coding agent rather than use a fixed coding assistant.
    Starting Price: Free
  • 20
    Poolside

    Poolside

    Poolside.ai

    Poolside is an AI coding agent platform that works directly within the tools developers already use, including CLI, VS Code, Visual Studio, Zed, JetBrains, web, and headless environments. The platform enables developers to run agents from the terminal, inside their IDE, through a browser, or within CI/CD pipelines. Poolside supports sandboxed execution, allowing code to be tested and validated in isolated environments before changes affect a codebase. Its fine-grained permission controls let teams decide exactly what agents can read, write, run, or access. The platform also provides version control for agent work, traceability, observability, usage metrics, and centralized governance through the Poolside Console. By combining developer-native integrations with enterprise controls, Poolside helps engineering teams automate coding, testing, review, and development workflows safely.
    Starting Price: Free
  • 21
    ADE

    ADE

    ADE

    ADE is an agentic development environment for software developers who use AI coding agents with Git repositories. It organizes parallel tasks in isolated Git worktrees and combines agent chat, multi-agent sessions, terminals, file editing, testing, browser-based QA, automation, and pull-request review in one workspace. Desktop, browser, terminal, and iOS clients sync project activity through an ADE Brain running on a machine you control; Linux can host the Brain without a Linux desktop app. ADE supports Claude Code, Codex, Cursor, Factory Droid, and OpenCode, and connects to GitHub and Linear for pull requests and issue workflows. Developers can review changes, inspect test results, and continue work across devices.
  • 22
    Reasonix

    Reasonix

    Reasonix

    Reasonix is an open source coding agent designed for long autonomous sessions that remain readable, auditable, and reversible. One local engine powers four interfaces: terminal, desktop app, browser, and ACP-compatible editors, with sessions, permissions, skills, and MCP servers shared across them. Plan mode holds every write until the proposed steps are reviewed and approved, while reads, writes, and shell commands are separately gated and constrained by a workspace sandbox. Each turn creates a checkpoint outside Git, allowing users to rewind a long run without affecting commit history. MCP support over stdio, SSE, and streamable HTTP merges external tools into one registry, while Markdown skills and isolated subagents extend the agent without requiring a fork. Reasonix maps a codebase once and keeps that map throughout the session, letting users queue tasks, review diffs, and resume work without losing context.
    Starting Price: Free
  • 23
    OpsAgents AutoPilot
    OpsAgents AutoPilot turns your backlog into pull requests. It takes the next ticket off your board, reads your repository, writes the change on its own branch and opens one pull request per ticket for your team to review - then stops. It never merges, never touches CI configuration or secrets, and never approves its own work: nothing reaches your main branch without a person saying yes. Tickets it judges unclear are skipped rather than guessed. Priced per board per month with an included run allowance (Starter 20 runs, Team 50, Scale 120 pooled across 3 boards); additional runs are $19 each, and every board carries a hard daily spend cap you set. By OpsAgents AI.
    Starting Price: $399/month
  • 24
    Squire AI

    Squire AI

    Squire AI

    Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.
    Starting Price: $20 per month
  • 25
    Clears

    Clears

    Clears

    Clears is an autonomous software delivery platform that carries engineering work from requirements to reviewed pull requests across the software development lifecycle. It scores incoming tickets by agent confidence, risk, and complexity, identifies the repositories each issue touches, and helps teams determine which work is ready for automation before committing it to a sprint. Agentic workflows coordinate analysis, approval, implementation, validation, and PR review, with each agent picking up where the previous one left off. Every issue has a persistent AI session that can explore the codebase, refine requirements, answer questions, propose changes, and retain context across runs. A shared Context Layer stores organization-wide conventions, repository patterns, previous decisions, API contracts, known pitfalls, and execution history so agents do not start from scratch.
    Starting Price: $89 per month
  • 26
    Zide

    Zide

    Zide

    Zide is a native desktop workspace designed specifically for software development. It brings together your editor, Git, issues, pull requests, CI, terminals, projects, web browser, and AI agents into one unified application. Zide integrates seamlessly with GitHub, GitLab, and Bitbucket, with built-in issue tracking. Developers can leverage local models, bring their own API keys, connect CLI agents, or use frontier models through Zide Assist.
    Starting Price: Freemium
  • 27
    Kilo Code

    Kilo Code

    Kilo Code

    Kilo Code is a powerful open-source coding agent designed to help developers build, ship, and iterate faster across every stage of the software development workflow. It offers multiple modes—including Ask, Architect, Code, Debug, and Orchestrator—so developers can switch seamlessly between tasks with tailored AI support. The platform includes features such as hallucination-free code, automatic failure recovery, and deep context awareness to ensure accuracy and reliability. Developers can run parallel agents, enjoy fast autocomplete, and even deploy applications with a single click. With access to 500+ models and integration across terminals, VS Code, and JetBrains editors, Kilo provides unmatched flexibility. As the #1 agent on OpenRouter with over 750,000 users, it has quickly become a preferred choice for modern AI-assisted development.
    Starting Price: $15/user/month
  • 28
    LM Studio Bionic
    LM Studio Bionic is an AI agent built for getting real work done with open models across coding, research, documents, files, and general knowledge work. It gives users flexible control over where models run: locally on their device, through LM Link, or with frontier open-source models in LM Studio Secure Cloud for heavier tasks. Local models are powered by the LM Studio runtime and can be downloaded directly inside the app, while cloud requests use Zero Data Retention and are processed without being stored after completion. For coding, users can connect a local folder as a Code project and ask Bionic to inspect a codebase, explain unfamiliar logic, search for relevant files, trace behavior, edit code, or debug issues. Inline diffs make changes easy to review as the agent works. Work projects support documents, PDFs, presentations, spreadsheets, and local directories, allowing Bionic to generate new files, organize materials, summarize content, edit existing work, and more.
    Starting Price: Free
  • 29
    Verboo Code

    Verboo Code

    Verboo (Verbeux Servicos Ltda)

    Verboo Code is a coding agent with unlimited tokens at a flat price. Ten open models, most with a 1 million token context window, switchable by command, and four entry points under a single subscription: an open source CLI, a desktop app for macOS, Windows and Linux, a browser extension, and an OpenAI compatible endpoint that plugs into Cursor, VS Code and JetBrains. We do not resell anyone's API: we operate our own inference layer with a proprietary router and vLLM/SGLang orchestration. That is what makes a flat price with no hidden cap possible.
    Starting Price: $24/month per developer
  • 30
    PinAppAI

    PinAppAI

    PinAppAI

    PinAppAI is visual feedback software that turns website change requests into structured tasks for AI coding agents. Reviewers place pins on live website elements and describe changes using plain language or voice input. AI agents like Claude Code and Codex receive localized requests with element identification, text selections, and pixel-perfect captures. The platform supports four pinning modes: free-form pins with percentage-based positioning, element pins for precise HTML targeting, screenshot pins for pixel-perfect images, and text-selection pins for exact find-replace operations. PinAppAI integrates with AI coding tools via Model Context Protocol, letting reviewers annotate live sites while AI agents propose fixes in the editor. It works with Claude Code, Cursor, Continue, Codex, and Claude Desktop. Access options include review links, embedded widgets, a Chrome extension, and a macOS app.
    Starting Price: $9/month/user
  • 31
    MicroGPT

    MicroGPT

    MicroGPT

    MicroGPT revolutionizes how developers work by offering contextual support at every stage of the software development process. From providing code completions and chat support within IDEs to explaining code and answering documentation queries on GitHub, MicroGPT enhances the entire development workflow and helps developers concentrate on adding value, fostering innovation, and experiencing greater job satisfaction. Built as an AI coding assistant, it brings real-time coding suggestions, error detection, code reviews, optimization, debugging support, and code explanations into the environments developers already use. MicroGPT integrates directly with top code editors such as Visual Studio Code, Visual Studio, JetBrains IDEs, and Neovim, and it also connects with GitHub so developers can get support close to the code, repositories, documentation, and project context they work with every day.
  • 32
    GPT‑5-Codex
    GPT-5-Codex is a version of GPT-5 further optimized for agentic coding within Codex, focusing on real-world software engineering tasks (building full projects from scratch, adding features & tests, debugging, large-scale refactors, and code reviews). Codex now moves faster, is more reliable, and works better in real-time across your development environments, whether in terminal/CLI, IDE extension, via the web, in GitHub, or even on mobile. GPT-5-Codex is the default model for cloud tasks and code review; developers can also opt to use it locally via Codex CLI or the IDE extension. It dynamically adjusts how much “reasoning time” it spends depending on task complexity; small, well-defined tasks are fast and snappy; more complex ones (refactors, large feature work) get more sustained effort. Code review is stronger; it catches critical bugs before shipping.
  • 33
    Refact.ai

    Refact.ai

    Refact AI

    Refact.ai is a cutting-edge, open-source AI coding assistant designed to enhance developer productivity through intelligent code completion, real-time code reviews, and personalized support. By integrating with popular IDEs like VS Code, JetBrains, and PyCharm, Refact.ai provides a seamless development experience, offering personalized auto-completion, code refactoring, and AI-driven suggestions based on your unique codebase. With the ability to fine-tune models using company-specific data, Refact.ai optimizes its performance for better accuracy and faster code generation. Whether you're building new features or improving existing code, Refact.ai ensures your development process is more efficient, secure, and aligned with best practices.
  • 34
    Kiro

    Kiro

    Amazon Web Services

    Kiro is an AI‑powered integrated development environment that brings structure to AI‑driven coding by converting natural‑language prompts into clear requirements, system designs, and discrete implementation tasks validated by robust tests. Built from the ground up for agentic workflows, it features spec‑driven development, multimodal chat, “agent hooks” that trigger background tasks on events like file saves, and an autopilot mode that autonomously runs large scripts while keeping you in control. With smart context management, Kiro reduces repetitive prompts and helps implement complex features across large codebases. Native MCP integrations let you connect to documentation, databases, and APIs, and you can guide development with images of UI designs or architecture diagrams. Enterprise‑grade security and privacy ensure safe deployment, while support for Claude Sonnet models, Open VSX plugins, and existing VS Code settings delivers a familiar yet AI‑supercharged experience.
    Starting Price: $19 per month
  • 35
    Emdash

    Emdash

    Emdash

    Emdash is an open-source agentic development environment that enables software developers to run and manage multiple AI coding agents from a centralized desktop application. The platform supports coding assistants such as Claude Code, OpenAI Codex, Cursor, Amp, and OpenCode through their command-line interfaces. Each development task operates in an isolated Git worktree, allowing agents to work on separate branches without interfering with one another. Emdash provides integrated terminals, code editing tools, application previews, and Git functionality for reviewing and managing agent-generated changes. Its automation features allow developers to schedule recurring coding tasks, while integrations with GitHub, Jira, Linear, and other services connect agents to existing development workflows. The software supports local and remote execution environments and is available for macOS, Windows, and Linux.
    Starting Price: Free
  • 36
    blume

    blume

    blume

    Blume is a desktop sidecar for AI coding agents that helps developers see what every agent is doing, keep project context consistent, and catch drift before it reaches the codebase. It works with tools including Cursor, Claude Code, Codex, omp, and Pi, bringing agent activity, hidden files, skills, hooks, rules, and provider usage into one place. The Agents view shows whether each coding agent is working, finished, or waiting for approval, while Setup exposes the instructions and configuration files shaping agent behavior. Usage tracking shows remaining plan limits and token burn across providers such as Claude, Codex, and Cursor so developers can avoid unexpected interruptions. Blume stores conversation history locally on the device and reviews rules, skills, and hooks on-device. Its Improve workflow looks for repeated signals of friction across conversations, clusters similar issues, and proposes concrete changes such as new rules or reusable skills.
    Starting Price: Free
  • 37
    JackHamr

    JackHamr

    JackHamr

    JackHamr is the AI coding agent that ships software end-to-end. Instead of a single AI assistant, it orchestrates specialist agents: a spec agent writes requirements, a planner breaks them into tasks, a builder writes code, a tester runs tests, a reviewer checks quality, and a shipper deploys. Agents run on hosted cloud dev environments with VS Code, Docker, SSH, and WireGuard-encrypted networking, so you can close your laptop and they keep working. Talk to them with push-to-talk voice chat or type naturally. GitHub is built in: one-click clone, automatic branch-per-task, real-time commit sync, and PR creation. Bring your own LLM keys (OpenAI, Anthropic, Google, or self-hosted) or use ours at cost, and swap models mid-pipeline. Pay-as-you-go with itemized billing: infrastructure at cost, LLM tokens with zero markup. $10 free credit to start, no card required.
    Starting Price: $0 to start, pay-as-you-go
  • 38
    Grok Code Fast 1
    Grok Code Fast 1 is a high-speed, economical reasoning model designed specifically for agentic coding workflows. Unlike traditional models that can feel slow in tool-based loops, it delivers near-instant responses, excelling in everyday software development tasks. Built from scratch with a programming-rich corpus and refined on real-world pull requests, it supports languages like TypeScript, Python, Java, Rust, C++, and Go. Developers can use it for everything from zero-to-one project building to precise bug fixes and codebase Q&A. With optimized inference and caching techniques, it achieves impressive responsiveness and a 90%+ cache hit rate when integrated with partners like GitHub Copilot, Cursor, and Cline. Offered at just $0.20 per million input tokens and $1.50 per million output tokens, Grok Code Fast 1 strikes a strong balance between speed, performance, and affordability.
    Starting Price: $0.20 per million input tokens
  • 39
    AtomCode

    AtomCode

    AtomGit

    AtomCode is an open source AI coding agent that lives in the terminal and autonomously reads files, edits code, runs commands, searches the web, executes tests, and self-verifies until a task is complete. It is designed as a multi-model alternative to tools such as Claude Code and Cursor Agent, supporting Claude, OpenAI, DeepSeek, GLM, Qwen, Ollama, SiliconFlow, and any OpenAI-compatible API. Its built-in code graph tools provide symbol indexing, reference lookup, caller and callee tracing, dependency analysis, and blast-radius analysis to help the agent understand large codebases more deeply than basic text search. Developers can attach screenshots and images, while vision preprocessing can extract useful context when the selected primary model does not support images directly. AtomCode integrates natively with AtomGit for OAuth login, repository management, issues, and pull requests, and supports MCP, reusable Skills, plugins, custom slash commands, hooks, and workflows.
    Starting Price: Free
  • 40
    Charlie

    Charlie

    Charlie Labs

    Charlie Labs offers Charlie, an AI-powered autonomous engineering assistant that helps software teams ship code faster by automating coding tasks, pull request reviews, bug fixes, feature implementation, and other development work directly within existing workflows. Charlie integrates seamlessly with tools developers already use, such as GitHub, Slack, Linear, Sentry, and Vercel, and operates where work happens by listening for events like pull requests or mentions, then generating high-quality TypeScript code, opening or updating branches, and creating pull requests with clean commits and passing tests without manual intervention. It can catch bugs, provide actionable inline feedback, produce feature code and refactor from issue descriptions, and respond to natural language requests within team communication tools so engineers can focus on strategy and design instead of repetitive implementation tasks.
    Starting Price: $500 per month
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    Snowflake CoCo
    Snowflake CoCo is a data-native AI coding agent that turns complex data engineering, analytics, machine learning, and AI workflows into simple conversations. It understands enterprise context, including catalog, lineage, RBAC policies, compute, and pipeline dependencies, helping generated code reference real objects with the correct permissions. Teams can use CoCo to identify data, build pipelines across dbt, Apache Airflow, Postgres, Spark, and AWS Glue, generate executable ML pipelines for Snowflake Notebooks, and create apps and AI agents grounded in enterprise data. Its agent harness includes Snowflake-specialized tools such as semantic catalog search, data diffing, and sandboxed runtimes rather than relying on generic code wrappers. For complex, multi-step tasks, orchestration can coordinate sub-agents and route between models automatically. CoCo is available as a desktop development environment with access to local files, terminals, and Snowflake.
    Starting Price: $2 per credit
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    Mistral Medium 3.5
    Mistral Medium 3.5 is a flagship 128B dense model that merges instruction-following, reasoning, and coding into a single set of weights. It has a 256K context window, configurable reasoning effort, multimodal input, strong agentic capabilities, and is built for long-horizon tasks that require reliable multi-tool use and structured outputs. The model powers remote agents in Mistral Vibe, allowing coding sessions to run in the cloud, work through long tasks independently, and execute multiple sessions in parallel. Agents can be launched from the Vibe CLI or Le Chat, with local CLI sessions moved to the cloud while preserving history, task state, and approvals. Users can inspect file diffs, tool calls, progress states, and questions as work proceeds. Each coding session runs in an isolated sandbox and can handle module refactors, test generation, dependency upgrades, CI investigations, and bug fixes, then open a GitHub pull request for review.
    Starting Price: $14.99 per month
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    Devgen

    Devgen

    Devgen

    Devgen is a codebase research assistant that helps you read large codebases with ease. Quickly get precise answers, with relevant code references, to verify the information you need. Effortlessly bring GitHub issues into your chat. Simply right-click on any issue page, choose "add to chat," and the issue is instantly set up for discussion. Quickly access the issue’s related code and pull requests. Effortlessly draft and discuss solutions for the issue directly in the chat. Learn about the pull request with natural language. Use natural language to review pull requests. Devgen is an AI assistant designed to provide deep insights into your GitHub repository by analyzing code, issues, pull requests, and releases. Accessible as a Chrome extension, it integrates directly with GitHub, allowing for seamless, side-by-side interaction as you work.
    Starting Price: $10 per month
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    Omnara

    Omnara

    Omnara

    Omnara gives developers an open-source way to deploy AI agents without building the systems that keep them running. Its API manages execution and agent state, while you decide which models, tools, and environments each agent uses. Build agents that customers can access inside your product, create internal assistants for Slack, or set up workflows for tasks like code review. You can launch and interact with agents through a REST API, TypeScript SDK, or CLI. Connect models from providers such as OpenAI, Anthropic, and OpenRouter, or use a compatible endpoint for a model you host yourself. Agents can work in managed sandboxes or on machines you connect. MCP integrations and reusable skills let them access tools and data. Omnara also includes team and project permissions, encrypted secrets, activity records, and human approval for sensitive actions. Its agents retain their state so they can continue after interruptions. You can use the cloud service or self-host the platform.
    Starting Price: Free
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    Auggie CLI

    Auggie CLI

    Augment Code

    Auggie CLI brings Augment’s intelligent coding agent directly into your terminal by leveraging its powerful context engine to analyze code, make edits, and execute tools both interactively and within automated workflows. Developers can install it via npm (requiring Node.js 22+ and a compatible shell), then launch a full-screen interactive session using auggie, complete with real-time streaming, visual progress, and conversational tooling, for debugging, feature development, PR review, or triaging alerts. For automation, Auggie offers streamlined modes ideal for CI/CD pipelines and background tasks. The CLI also supports custom slash commands for repeatable workflows, integrates with external tools and systems via native integrations and Model Context Protocol (MCP) servers, and can be scripted in pipelines or GitHub Actions for tasks like auto-generating PR descriptions.
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    JetBrains Air

    JetBrains Air

    JetBrains

    Air is an agentic development environment created by JetBrains that allows developers to delegate coding tasks to multiple AI agents and manage them within a single, unified workspace. Instead of functioning as a simple chat-based assistant, it is designed as a full development environment where tools are built around AI agents, enabling users to guide, supervise, and refine their output more effectively. Developers can run several agents concurrently, each working on different tasks in isolated environments, which helps prevent conflicts and improves productivity when handling complex projects. It supports integration with multiple AI systems such as Claude, Gemini, Codex, and other coding agents, allowing flexible, model-agnostic workflows within the same interface. Users can define tasks with rich context by referencing specific files, commits, classes, or code elements, ensuring that the agents generate more accurate and relevant results based on the actual codebase.
    Starting Price: Free
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    Superpowers

    Superpowers

    Superpowers

    Superpowers is an open-source software development methodology and skills framework designed to improve how coding agents plan, build, test, and review software. The project gives AI coding tools a structured workflow that helps them clarify requirements before writing code. It supports agents such as Claude Code, Codex CLI, Codex App, Factory Droid, Gemini CLI, OpenCode, Cursor, and GitHub Copilot CLI. Superpowers guides agents through brainstorming, design approval, implementation planning, test-driven development, subagent-driven execution, code review, and branch completion. Its skills library emphasizes red-green-refactor testing, systematic debugging, isolated git worktrees, verification, and evidence-based completion. Superpowers helps developers turn AI coding agents into more disciplined engineering partners that follow repeatable processes instead of jumping straight into code.
    Starting Price: Free
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    SERA

    SERA

    Ai2

    Open Coding Agents are a family of fully open, high-performance AI coding models and an associated training method released by the Allen Institute for AI that make building, customizing, and training coding agents on any repository remarkably accessible, affordable, and transparent; the platform includes models, code, training recipes, and tools that can be launched with minimal setup so users can tailor agents to their own codebases and engineering conventions for tasks like code generation, code review, debugging, maintenance, and code explanation. These agents break from the traditional closed, expensive systems by offering an open pipeline from models to training data and enabling fine-tuning on internal code to teach agents about organization-specific APIs, patterns, and workflows; the first release, SERA (Soft-verified Efficient Repository Agents), achieves state-of-the-art performance on coding benchmarks at a fraction of the typical compute cost.
    Starting Price: Free
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    LayerDock

    LayerDock

    LayerDock

    LayerDock is a browser workspace for teams and clients to see website issues, capture the context, and share the fix. Nothing to download, no Chrome extension required. Create a Dock for any website and drop pins on live pages. Every pin auto-captures a screenshot, CSS selector, viewport size, console logs, network requests and browser/OS info. Share a client review link so clients can leave feedback without learning your dev workflow, while team notes stay private. Review across desktop, tablet and mobile, record your screen, inspect elements, run an in-browser accessibility audit and annotate screenshots. Assign pins, track status and reply in threads. Sync with Slack, Jira, Linear, GitHub, Trello and ClickUp, or send pins straight to coding agents like Claude Code and Cursor via MCP with full context. An alternative to BugHerd, Marker.io and MarkUp.io, with a free plan to start.
    Starting Price: $15/month
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    Tusk

    Tusk

    Tusk

    Save time and effort by assigning smaller tickets to an AI agent. Tusk helps software engineers complete chore tickets at the speed of thought. Tusk automatically iterates on its code changes to address any code reviews left on the pull request. No good engineer pushes code without testing. Tusk runs your automated checks and tests to make sure the PR works. If we can’t create a pull request, we’ll still save you time by providing code context as a jumping-off point. With Tusk, you can avoid getting distracted by your PMs over chore tickets. Focus your time on fulfilling work, while also raising the bar on your product. Customer-reported bugs can be time-consuming to investigate and tackle. Let Tusk have the first pass at fixing them. We know you have better things to do than removing a word in a header or finding and replacing a term across multiple files. Have Tusk go through your product quality backlog. We'll implement the UI/UX changes that you've been neglecting for weeks.
    Starting Price: $495 per month