GitHub Copilot
GitHub Copilot is an AI-powered coding assistant that works across multiple environments including IDEs, terminals, and GitHub itself
A credible, GA-stage agentic IDE whose spec-first workflow pays off on substantial features and team work, though the credit model and planning overhead won't suit quick edits.
Kiro is Amazon Web Services' agentic development environment built around spec-driven development, where an AI agent turns your idea into structured requirements, a design doc, and a tracked task list before writing code. Built on the VS Code-based Code OSS platform, it adds specs, hooks, steering files, and custom agents. Kiro is generally available and is AWS's successor to Amazon Q Developer.
Kiro is an agentic AI IDE from AWS that makes specifications, rather than one-off prompts, the unit of work. Instead of jumping from a chat prompt to a diff, Kiro first generates a requirements file, a design document, and a discrete task plan that you review and approve, then executes independent tasks in parallel. Built on Code OSS (the same foundation as Visual Studio Code), it layers on hooks for event-driven automation, steering files for persistent project context, custom subagents with scoped permissions, and MCP integrations. It runs on a credit-based freemium model with a perpetual Free tier and paid plans from $20/month, uses a default Auto agent that blends frontier models like Claude Sonnet with specialized models, and reached general availability in 2026 as the replacement for Amazon Q Developer.
Kiro is AWS's agentic, spec-driven AI IDE and the successor to Amazon Q Developer. Built on the VS Code-based Code OSS platform, it turns prompts into structured requirements, design docs, and tracked tasks before generating code, and adds hooks, steering, and custom agents. It runs on a credit-based freemium model with a perpetual Free tier and paid plans from $20/month, defaulting to an Auto agent that blends models such as Claude Sonnet. Generally available since 2026, it targets professional and enterprise teams that value planning and repeatability.
Kiro is a product of Amazon Web Services (AWS), the cloud division of Amazon. It is not a startup but a first-party AWS offering, developed and operated by Amazon and positioned as the successor to Amazon Q Developer (itself the evolution of Amazon CodeWhisperer).\n\nAWS reached general availability for Kiro in May 2026 and is steering existing Amazon Q Developer customers toward it, with the newest coding models offered through Kiro. The product spans a desktop IDE, a CLI, and preview web and mobile clients, backed by AWS's enterprise, security, and compliance infrastructure.
Kiro's defining feature is spec-driven development: each feature starts as a requirements file, a design document, and a discrete, trackable task list that you approve phase by phase, after which independent tasks run concurrently in dependency-ordered waves. Quick Spec and Bugfix Specs adapt the workflow for well-understood changes and root-cause bug fixes.\n\nAround the spec workflow, Kiro adds hooks (event-driven automations that trigger the agent on actions like saving a file), steering files (persistent project context and conventions), custom subagents with scoped tool permissions, MCP integrations, Agent Skills, Powers, checkpoints and rewind, and cloud sessions. It is built on Code OSS, so it retains a familiar VS Code-style editor and extension model.
Kiro targets professional and enterprise software teams that prioritize planning, consistency, and reviewability over raw generation speed, especially organizations already invested in AWS or migrating off Amazon Q Developer. Its hooks, steering, SSO, usage analytics, centralized billing, VPC endpoints, and GovCloud availability appeal to regulated and larger engineering organizations, while the perpetual Free tier and simple sign-in also make it accessible to individual developers evaluating spec-driven workflows.
Software developers and engineering teams who build and maintain non-trivial features and want an AI agent that plans, documents, and tracks its work rather than improvising.
Engineering leaders, platform and developer-productivity teams, and IT procurement at companies standardizing on AWS or transitioning from Amazon Q Developer.
Staff and principal engineers, DevEx and platform teams, AWS solutions architects, and internal AI-tooling champions who evaluate agentic IDEs.
AWS-aligned professional or enterprise engineering teams that want structured, spec-driven AI development with enforceable standards and enterprise controls.
Kiro is not a venture-funded startup; it is a first-party product of Amazon Web Services, part of Amazon (NASDAQ: AMZN). It is developed, funded, and operated internally by AWS and benefits from Amazon's cloud infrastructure, model access, and enterprise go-to-market. As such, questions of external funding rounds or investors do not apply; its resourcing and roadmap are backed by Amazon rather than outside capital.
Kiro is AWS's agentic, spec-driven AI IDE. Built on the VS Code-based Code OSS platform, it turns your idea into structured requirements, a design document, and a tracked task list before generating code, and adds hooks, steering, and custom agents. It is the successor to Amazon Q Developer.
Yes. Kiro has a perpetual Free tier with 50 credits per month, plus paid plans starting at $20/month (Pro) and ranging up to $200/month (Power). New users also receive bonus credits for evaluation.
No. You can sign in with a Google account, GitHub, an AWS Builder ID, or AWS IAM Identity Center. An AWS account is optional for individual developers.
By default Kiro uses Auto, an agent that blends frontier models such as Claude Sonnet with specialized models. You can also pin a specific model, including Claude Sonnet 4.5/4.6, Opus variants, or open-weight models, though premium models consume credits faster.
Cursor and GitHub Copilot focus on fast inline completion and chat within the editor. Kiro emphasizes a spec-first workflow that generates and approves requirements, design, and tasks before writing code, aimed at predictable, reviewable output for larger features and teams.
Yes. AWS has placed Amazon Q Developer on an end-of-support path and directs developers to Kiro, where its newest coding models are offered. Existing Q Developer customers are encouraged to plan a migration.
Side-by-side pages for pricing, features, and best-fit use cases.
GitHub Copilot is an AI-powered coding assistant that works across multiple environments including IDEs, terminals, and GitHub itself
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AI-native code editor with agents, full-codebase context, and multi-model support