Kiro

Kiro

Amazon Web Services
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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.

About

Pi is a minimal terminal coding harness built to adapt to developer workflows instead of forcing developers to adapt to it. It ships with powerful defaults, but stays intentionally small and aggressively extensible, letting users customize Pi with extensions, skills, prompt templates, themes, and shareable packages from npm or git. If a team needs a command, tool, provider, workflow, or UI tweak, they can ask Pi to build it, manipulate it in place, reload, and keep going. Pi supports interactive, print/JSON, RPC, and SDK modes, making it usable as a full terminal UI, a scriptable command, a JSON event stream, or an embeddable agent harness. It works with 15+ providers and hundreds of models, including Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, Cerebras, xAI, Hugging Face, Kimi For Coding, MiniMax, OpenRouter, Ollama, and more, with mid-session model switching.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

Developers and AI tool builders who want a minimal, extensible terminal coding agent they can customize, script, embed, and adapt to their own workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$19 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 4.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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.

Pros & Cons from Real Users

Pros

  • Pi Agent looks really appealing from a developer’s point of view because it is simple, open-source, and focused on the actual mechanics of building coding agents. It is not trying to be a giant all-in-one platform. It gives you the core pieces: a unified LLM API, an agent loop, a terminal UI, and a coding-agent CLI. I especially like the context-engineering approach. Being able to control project instructions with AGENTS.md, customize the system prompt with SYSTEM.md, and manage long sessions through compaction makes Pi feel built for developers who actually understand how fragile agent context can be. The open-source MIT license is a big plus too. If I am building serious agent workflows, I want to inspect the harness, modify it, swap models, and understand what is happening under the hood instead of being locked into a black-box coding assistant.

Cons

  • Pi Agent is probably not the best fit for someone who wants a polished, fully managed AI coding product out of the box. It feels more like a toolkit for developers who are comfortable configuring their own workflows, choosing models, and tuning the agent behavior. I would also want to test reliability carefully before using it on production repos. Coding agents can make impressive changes, but they can also get stuck, over-edit files, miss project conventions, or make subtle mistakes if the context and guardrails are not set up well. The simplicity is a strength, but it also means you may need to bring more of your own infrastructure, evals, permissions, and safety controls.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon Web Services
Founded: 2002
United States
kiro.dev/

Company Information

Pi
United States
pi.dev/

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Amp

Amp

Amp Code
Claude Code

Claude Code

Anthropic
Amp

Amp

Amp Code
Cline

Cline

Cline AI Coding Agent
Devin Desktop

Devin Desktop

Cognition

Categories

Categories

Integrations

Claude
Graphify
JSON
MemPalace
OpenViking
C++
Claude Opus 4.7
GPT-5.4
GPT-5.4 Pro
GPT-5.6 Terra
Gemini 3.1 Pro
Go
Grok
Groq
Kimi K2.6
MiniMax M2.7
Mistral AI
Nativ
Python
YAML

Integrations

Claude
Graphify
JSON
MemPalace
OpenViking
C++
Claude Opus 4.7
GPT-5.4
GPT-5.4 Pro
GPT-5.6 Terra
Gemini 3.1 Pro
Go
Grok
Groq
Kimi K2.6
MiniMax M2.7
Mistral AI
Nativ
Python
YAML
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