Augment Code vs. Kiro Comparison


Augment Code Harness 5.0 out of 5 stars	Kiro Amazon Web Services 5.0 out of 5 stars	+	+
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		Related Products Retool Securely deploy vibe-coded apps in one governed platform. Build in Retool, import from tools like Claude Code, Replit, or Lovable, or connect via MCP. However your team builds, every app ships safely, with governance built in. People across your organization are already vibe-coding internal tools with no SSO, no RBAC, no audit logs, and no connection to your existing data controls. Retool is where secure vibe coding happens by default. Build from scratch, import an app from another AI builder, or connect an agent via MCP — governance lives in the platform, not in each individual app. 4.6 out of 5 stars 608 Ratings Visit Website for Retool Google AI Studio Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows. 4.8 out of 5 stars 42 Ratings Visit Website for Google AI Studio Jotform Trusted by over 25 million users, Jotform is an all-in-one, no-code platform that simplifies data collection, automation, and online sales. Using its drag-and-drop Form Builder, businesses can create customized forms and surveys to collect leads, payments, and e-signatures. With 10,000+ templates and advanced features like conditional logic and 200+ integrations, Jotform streamlines workflows. Jotform's AI-powered Agents provide real-time customer support, guiding users through form submissions, answering questions, and ensuring a smooth experience while reducing manual intervention. These AI agents learn from interactions to improve responses, enhancing efficiency and customer satisfaction. The platform also includes a Store Builder to sell products and services, accept payments through 30+ gateways, and tools like Approvals and Report Builder to automate workflows and generate actionable insights. Jotform App Builder for ChatGPT and Claude is an AI-powered no-code application builder that enables users to create, customize, publish, and manage applications through natural language conversations. The platform integrates Jotform Apps with ChatGPT and Claude, allowing users to turn ideas discussed with an AI assistant into functional applications without traditional programming. 4.6 out of 5 stars 9,009 Ratings Visit Website for Jotform BAND BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. 5.0 out of 5 stars 3 Ratings Visit Website for BAND Aikido Security Secure your code, cloud, and runtime in one central system. Aikido’s all-in-one security platform is loved by developers and security teams alike with full security visibility, insight in what matters most, and fast/automatic vulnerability fixes. Teams get security done with Aikido thanks to: - False-positive reduction - AI Autotriage & AI Autofix - Deep integration into the dev workflow (from IDEs and task managers to CI/CD gating) - AI Pentests - Automated Compliance Aikido covers the entire Software Development Lifecycle (SDLC), including: static application security testing (SAST), dynamic application security testing (DAST), infrastructure-as-code (IaC), container scanning, secrets detection, open source license scanning (SCA), cloud posture management (CSPM), runtime protection, AI pentests, and more. 4.6 out of 5 stars 367 Ratings Visit Website for Aikido Security Gemini Enterprise Agent Platform Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance. 4.3 out of 5 stars 1,178 Ratings Visit Website for Gemini Enterprise Agent Platform LM-Kit.NET LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer. 4.8 out of 5 stars 29 Ratings Visit Website for LM-Kit.NET SearchUnify SearchUnify is an enterprise Agentic AI platform that unifies enterprise knowledge and powers autonomous AI agents across the customer support lifecycle. Built on SearchUnifyFRAG™ (Federated Retrieval Augmented Generation) and Agentic RAG, it delivers contextually accurate, real-time responses across self-service, agent-assisted, and automated support workflows. Its product suite includes Cognitive Search, SearchUnifyGPT™, SUVA (Virtual Assistant), Knowbler, and Agent Helper. The Agentic AI Suite deploys eight specialized AI Agents handling case resolution, case classification, escalation management, knowledge management, case quality auditing, and L2 technical workflow automation. SearchUnify supports BYOLLM, enabling LLM flexibility without vendor lock-in, and uses Model Context Protocol (MCP) for secure enterprise integrations. A built-in governance layer provides role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2. 4.5 out of 5 stars 150 Ratings Visit Website for SearchUnify Checksum.ai Checksum is a continuous quality platform that autonomously generates, runs, and maintains tests so engineering teams can ship AI-generated code without trading speed for reliability. Unlike copilots that wait for prompts, Checksum works as a background agent, detecting what needs testing, generating production-ready Playwright, and healing broken tests automatically. Seventy percent of failures resolve autonomously, keeping suites green without manual effort. Built on fine-tuned data from 1.5+ million test runs, Checksum covers every layer of the SDLC: end-to-end, API, and CI testing from a single platform. Tests are delivered as standard Playwright code, submitted as a PR to your repo. No vendor lock-in. Checksum integrates natively with Cursor, Claude Code, and 100+ coding agents via /checksum slash commands, so code is tested before a human ever reviews it. AI handles generation and healing on Checksum's cloud: no LLM tokens. The result: ship faster, with confidence. 5.0 out of 5 stars 2 Ratings Visit Website for Checksum.ai StackAI StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls • Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing • Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise 4.5 out of 5 stars 55 Ratings Visit Website for StackAI
About Augment Code is an AI-powered software development platform that helps engineering teams write, understand, review, and maintain code across complex projects. Its Context Engine uses semantic indexing to analyze codebases, identify relationships between files, and retrieve relevant information from multiple repositories. The platform provides AI coding agents that assist with implementing features, debugging issues, refactoring code, and generating tests. Developers can access these capabilities through supported development environments, command-line tools, and integrations with other AI coding assistants. Augment Code also offers automated code review functionality that evaluates changes for correctness, security concerns, and architectural issues. Its agent orchestration capabilities support coordinated development workflows with human approval checkpoints and shared knowledge across engineering teams.	About 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.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software developers, engineering teams, DevOps professionals, platform engineers, technical leads, and enterprise development organizations seeking AI-assisted coding, codebase analysis, automated code reviews, and coordinated software development workflows	Audience Developers and engineering teams needing a tool to accelerate AI‑driven coding from prototype to production with structured, spec‑driven development and autonomous AI agents
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $50 per developer per month Plans: Community: Free Developer: $50/month Pro: $100/month Max: $250/month Free Version Supported Free Trial Supported	Pricing $19 per month Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 4.5 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 4.0 / 5 design 5.0 / 5 support 4.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Clean, easy-to-use interface Smart, fast, and helpful AI suggestions Very responsive and human-centered support team Transparent pricing and generous gesture when issues arise The team genuinely cares about their users Augment Code's new Remote Agents feature is a game-changer for professional software engineers, particularly when working with large codebases. As a developer, I’ve never had an assistant so deeply integrated into my workflow. The AI-powered Agent knows my codebase inside and out, and it provides real-time insights, context, and suggestions, tailored specifically to my project. Whether I’m working on SDK migration, code refactoring, or documentation, the agent offers step-by-step guidance to help me navigate complex tasks with ease. One of the standout features is multi-repo code context—I no longer need to switch between multiple repositories or lose track of dependencies. This saves a tremendous amount of time and ensures I stay productive. Augment Code integrates seamlessly with popular IDEs like VS Code, IntelliJ, Vim, and even Slack, ensuring it fits perfectly into my existing workflow. Cons Minor billing hiccup when updating payment methods Initial confusion around subscription renewal While the AI Agent is impressive, the only limitation I’ve encountered is that it occasionally struggles with providing context for very specific, niche libraries or tools that are not part of the more common frameworks. However, this is a minor issue and doesn’t detract from the overall usefulness of the tool, especially when it’s highly effective with mainstream tools and codebases.	Pros & Cons from Real Users Pros Fast, Focused, and Flexible Kiro is a clean, fast IDE that prioritizes focus and responsiveness. Setup is straightforward, and the interface keeps essential panels (editor, explorer, terminal) within easy reach without feeling cluttered. Standout strengths include snappy file navigation, sensible defaults, and low-friction workflows for running and debugging projects. While the extension ecosystem isn’t as vast as some incumbents, the built-in features cover most daily needs, and performance remains solid even on larger codebases. If you value a distraction‑free environment with smart ergonomics over endless plugins, Kiro is an excellent choice. I’d love to see deeper VCS insights and more out‑of‑the‑box language tooling, but overall it’s a productive, reliable IDE. Cons Where it could improve Ecosystem depth: If you rely on niche language tooling or specialized plugins, you may find fewer options compared to larger marketplaces. Advanced VCS views: Basic Git workflows are smooth, but richer features (commit graph, interactive rebase UI, code review surfaces) would elevate team use. Language intelligence: Autocomplete and refactoring are solid for mainstream languages; deeper static analysis and framework-aware hints would be welcome.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Harness Founded: 2022 United States www.augmentcode.com	Company Information Amazon Web Services Founded: 2002 United States kiro.dev/
Alternatives JetBrains Junie JetBrains	Alternatives Google AI Studio Google 4.8 out of 5 stars
Amp Amp Code 4.7 out of 5 stars	JetBrains Junie JetBrains
Port Port IO 5.0 out of 5 stars	Amp Amp Code 4.7 out of 5 stars
Claude Code Anthropic 5.0 out of 5 stars	Cursor 5.0 out of 5 stars
Cursor 5.0 out of 5 stars View All	Devin Desktop Cognition 4.7 out of 5 stars View All
Categories Agentic AI Supported Agentic CLI Coding Tools Supported AI Code Generators Supported AI Code Review Supported AI Coding Agents Supported AI Coding Assistants Supported Vibe Coding Supported	Categories Agentic AI Supported Agentic CLI Coding Tools Supported AI Code Generators Supported AI Coding Agents Supported AI Coding Assistants Supported AI IDEs Supported IDE Supported Vibe Coding Supported

Integrations C Supported C# Supported C++ Supported Java Supported JavaScript Supported PHP Supported Python Supported Rust Supported Claude Opus 5.5 Supported Claude Sonnet 4.6 Supported GPT-5 Supported GPT-5.6 Sol Ultrafast Supported GPT-5.6 Terra Supported GPT-6 Sol Supported GPT-6.2 Astra Supported GPT‑6 Cyber Supported IntelliJ IDEA Supported JetBrains Gateway Supported Model Context Protocol (MCP) Supported Neovim Supported Show More Integrations View All 97 Integrations	Integrations C Supported C# Supported C++ Supported Java Supported JavaScript Supported PHP Supported Python Supported Rust Supported Claude Opus 5.5 Not Supported Claude Sonnet 4.6 Not Supported GPT-5 Not Supported GPT-5.6 Sol Ultrafast Not Supported GPT-5.6 Terra Not Supported GPT-6 Sol Not Supported GPT-6.2 Astra Not Supported GPT‑6 Cyber Not Supported IntelliJ IDEA Not Supported JetBrains Gateway Not Supported Model Context Protocol (MCP) Not Supported Neovim Not Supported Show More Integrations View All 36 Integrations
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