Compare the Top AI Coding Agents that integrate with Slack as of September 2025

This a list of AI Coding Agents that integrate with Slack. Use the filters on the left to add additional filters for products that have integrations with Slack. View the products that work with Slack in the table below.

What are AI Coding Agents for Slack?

AI coding agents are software tools powered by artificial intelligence designed to assist or fully automate the process of writing, reviewing, and optimizing code. These tools can generate code snippets, suggest improvements, debug errors, and even refactor entire codebases based on user input or project requirements. By leveraging machine learning and natural language processing, AI coding agents can understand and interpret programming languages, offering context-aware code suggestions that speed up development and reduce errors. They often integrate with popular Integrated Development Environments (IDEs) or version control systems, making them a seamless part of the developer's workflow. AI coding agents are especially useful in boosting productivity, assisting with repetitive tasks, and providing coding solutions for developers at all skill levels. Compare and read user reviews of the best AI Coding Agents for Slack currently available using the table below. This list is updated regularly.

  • 1
    Amp

    Amp

    Sourcegraph

    Amp by Sourcegraph is an advanced agentic coding tool designed to enhance software development speed, quality, and team collaboration. It leverages frontier AI models to perform autonomous reasoning, comprehensive code editing, and complex task execution. Developers can use Amp directly from their terminal via CLI or as a VS Code extension, eliminating the need to learn a new UI. The platform promotes sharing of workflows, context, and code changes to improve team efficiency and reuse successful patterns. Amp scales seamlessly from individual developers to large enterprises, offering enterprise-grade security, privacy, and compliance features. Users praise Amp for its smart, fast, and high-quality coding assistance that consistently outperforms competitors.
  • 2
    Augment Code

    Augment Code

    Augment Code

    Augment Code is an AI-powered coding agent designed specifically for professional software engineers working with large codebases. It integrates seamlessly with popular IDEs like Visual Studio Code, IntelliJ IDEA, and Vim, offering tools for SDK migration, code refactoring, and documentation. Augment Code enhances developers’ productivity by understanding their unique code style and context, providing personalized recommendations and explanations. The platform supports over 100 native and MCP tools, allowing engineers to debug and code more efficiently without switching between different applications.
    Starting Price: $50 per developer per month
  • 3
    Cody

    Cody

    Sourcegraph

    Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.
    Starting Price: $59
  • 4
    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
  • 5
    Defang

    Defang

    Defang

    Defang is a developer-centric platform that simplifies the process of developing, deploying, and debugging cloud applications. By leveraging AI-assisted tooling, Defang enables developers to swiftly transition from an idea to a deployed application on their preferred cloud provider. The platform supports multiple programming languages, including Go, JavaScript, and Python, allowing developers to start with sample projects or generate project outlines using natural language prompts. With a single command, Defang builds and deploys applications, handling configurations for computing, storage, load balancing, networking, logging, and security. The Defang Command Line Interface (CLI) facilitates interactions with the platform, offering installation options via shell scripts, Homebrew, Winget, Nix, or direct download. Developers can define services using compose.yaml files, which Defang utilizes to deploy applications to the cloud.
    Starting Price: $10 per month
  • 6
    Nia

    Nia

    Nia

    Nia is a collaborative AI developer designed to enhance your coding workflow by providing a comprehensive understanding of your codebase, facilitating the creation of custom applications, and streamlining development processes. It offers advanced semantic file search capabilities, enabling you to locate the right files promptly. With seamless integration into platforms like Slack, Nia simplifies onboarding and accelerates decision-making by delivering quick access to essential information. The Nia API allows for the incorporation of its powerful AI functionalities into your applications, facilitating codebase analysis and leveraging advanced code comprehension through a straightforward API. Additionally, the forthcoming Nia Agent aims to further expedite development by executing coding tasks at a level comparable to a junior software engineer. Currently in beta, Nia is available for free, inviting developers to experience its capabilities firsthand.
    Starting Price: Free
  • 7
    Metatable

    Metatable

    Metatable

    ​Metatable.ai is an AI-driven development platform that accelerates the creation and deployment of web and mobile applications. It offers an AI assistant to help define technical requirements, automatically generating and verifying frontend and backend code. It provides secure, scalable infrastructure, enabling one-click deployment and seamless integration with tools like Firebase, GitHub, Stripe, and Slack. Metatable.ai supports customization and scalability, allowing businesses to tailor software solutions to their specific needs. Leveraging Rust and WebAssembly, ​Metatable.ai ensures high performance and security. It also includes built-in authorization, authentication, and database management features, streamlining the development process. With Metatable.ai, users can transform ideas into minimum viable products in under 60 minutes, significantly reducing development time and costs. ​
    Starting Price: $25 per month
  • 8
    Palmier

    Palmier

    Palmier

    Palmier lets you trigger AI agents from GitHub events to generate merge‑ready pull requests that fix bugs, write documentation, and review code without manual intervention. By connecting GitHub or Slack triggers, such as pull request opens, updates, merges, or issue labels, to prebuilt or custom agents, you can auto‑implement features, run security scans, refactor code, generate tests, and update changelogs in parallel, all within isolated sandboxes that never store your code or use it for model training. With drag‑and‑drop‑style integrations for GitHub, Slack, Supabase, Linear, Jira, Sentry, AWS, and more, Palmier delivers real‑time, ready‑to‑merge PRs with 45 percent lower review latency and unlimited parallel runs. Its MIT‑licensed agents operate in secure, ephemeral environments under your permission controls, ensuring full data privacy and compliance with your workflow.
    Starting Price: $30 per month
  • 9
    Qoder

    Qoder

    Qoder

    Qoder is an agentic coding platform engineered for real software development, designed to go far beyond typical code completion by combining enhanced context engineering with intelligent AI agents that deeply understand your project. It allows developers to delegate complex, asynchronous tasks using its Quest Mode, where agents work autonomously and return finished results, and to extend capabilities through Model Context Protocol (MCP) integrations with external tools and services. Qoder’s Memory system preserves coding style, project-specific guidance, and reusable context to ensure consistent, project-aware outputs over time. Developers can also interact via chat for guidance or code suggestions, maintain a Repo Wiki for knowledge consolidation, and control behavior through Rules to keep AI-generated work safe and guided. This blend of context-aware automation, agent delegation, and customizable AI behavior empowers teams to think deeper, code smarter, and build better.
    Starting Price: Free
  • 10
    GitStart

    GitStart

    GitStart

    Assign tickets, and get high-quality production code powered by AI agents and our global developer community. Increase your capacity without increasing the engineering headcount. If you have more items on your plate than the capacity to ship them, assign them to GitStart. We believe coding can change lives and we are on a mission to grow the world's future software talent. Select which parts of your repo GitStart can access with our secure git-sharing tool. Share only what you want at all times, and keep your configuration file under your lock and key. Assign sprint-sized tickets and our LLM assistant will help you translate requirements into a fully-formed ticket. No one likes long review cycles, so GitStart pushes PRs that have been through internal code and QA checks. You review the work in your repo, request any necessary changes, and merge. You can approve or reject each PR cost estimate once we've understood the scope and before we start any work.
    Starting Price: $11 per credit
  • 11
    Factory

    Factory

    Factory

    Factory is an enterprise AI platform designed to accelerate the software development lifecycle by automating and optimizing various engineering processes. It offers a unified workspace that integrates code, documentation, tickets, and discussions, reducing context switching and enhancing team collaboration. Combines all development artifacts into a single intelligent workspace, providing comprehensive visibility and control over engineering projects. Transforms complex tasks into repeatable processes, enabling teams to tackle engineering challenges efficiently and consistently. Provides guided workflows for seamless integration with premier development tools, facilitating rapid setup and deployment. Factory's platform is designed to support large enterprises, offering features like dedicated compute resources, custom integrations tailored to organizational workflows, and premium support with dedicated account management.
    Starting Price: $80 per month
  • 12
    Asimov

    Asimov

    ReflectionAI

    Asimov is a code research agent that understands and works with complex enterprise codebases. Rather than focusing on code generation, it prioritizes codebase comprehension, a task that consumes up to 70% of developers’ time, by mapping relationships between code, architecture, and team decisions; maintaining institutional knowledge as engineers join and leave; and learning organically from team interactions and documentation. It indexes your entire development environment, including code repositories, architecture docs, GitHub threads, and Teams conversations, to build a persistent, cross‑cutting understanding of systems and to maintain context across architectural changes and team transitions. By using expanded context windows instead of traditional retrieval methods, Asimov can dynamically reference any part of a codebase during reasoning, enabling more accurate synthesis across disparate components.
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