Spec-driven feature work
Teams that want a written requirements, design, and task trail before an agent implements a substantial change.
Independent tool overview
Kiro at a glance
Kiro is an AWS-built agentic engineering platform that combines a Code OSS-based IDE, terminal agent, cloud development sessions, mobile access, and an open-source Crew workspace.
Visit the official Kiro site ↗
- Developer
- Amazon Web Services (AWS)
- Product surfaces
- IDE, CLI, web, mobile, and open-source Crew
- Core workflow
- Requirements, design, tasks, and agent execution
- Editor base
- Code OSS with Open VSX extensions
- Starting price
- Free with 50 monthly credits
- Paid plans
- From $20 per user per month
Overview
What Kiro is
Kiro is broader than the original "AI IDE" label suggests. AWS now presents it as an agentic engineering platform spanning a desktop IDE, CLI, browser-based cloud sessions, mobile access, and the open-source Kiro Crew project. Its defining workflow is spec-driven development: the agent can turn a request into reviewable requirements, a technical design, and an ordered task plan before changing the code.
That structure can make larger feature and bug-fix work easier to inspect, but it does not make generated requirements, designs, tests, or code automatically correct. Kiro's agents can read files, write code, run commands, connect to external tools, and work in cloud environments. Teams should therefore isolate workspaces, restrict credentials and trusted commands, review specs and diffs, and keep normal tests, security checks, code review, and deployment controls in place.
Use cases
Who Kiro is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Repository-scale coding
Developers working on multi-file features, bug fixes, migrations, refactors, and tests inside an existing codebase.
Local and cloud workflows
Engineers who want to move between an IDE, terminal, browser sandbox, and mobile oversight while preserving project context.
Parallel independent tasks
Projects whose task graph contains genuinely independent changes that multiple agents can execute without editing the same areas.
AWS-governed organizations
Companies that value AWS identity, governance, monitoring, regional, and enterprise deployment options.
Capabilities
Core Kiro features
Spec-driven development
Feature, bug-fix, and quick-spec flows can create structured requirements, design, and task files for review before implementation.
Requirements analysis
The IDE and CLI can analyze proposed requirements for omissions, contradictions, and unclear assumptions.
Task dependency planning
Kiro can organize implementation work into a dependency graph and execute independent tasks in parallel waves.
Property-based testing
The IDE can derive test properties, generate many randomized inputs, and shrink failures to smaller counterexamples.
Agentic IDE
A Code OSS-based desktop editor combines code navigation, chat, agents, checkpoints, settings, themes, and Open VSX extensions.
Terminal agent
The CLI supports interactive and headless operation, custom agents, voice mode, Agent Client Protocol, and use in scripted workflows.
Cloud web sessions
Browser sessions can work against connected GitHub or GitLab repositories in isolated cloud environments and continue after a laptop closes.
Autonomous web workflows
The web product includes autonomous mode and automations for delegated repository work.
Steering and project context
Repository steering files can record architecture, conventions, commands, and product rules for reuse across Kiro surfaces.
MCP and agent skills
Model Context Protocol servers, skills, hooks, custom agents, and built-in tools extend the agent with external data and actions.
Model selection
Users can choose Auto routing or supported Anthropic, OpenAI, and open-weight models with different context limits and credit multipliers.
Kiro Crew
The separate open-source Crew project provides a persistent local multi-agent workspace with configurable interfaces and apps.
Process
How the Kiro workflow works
Step 1
1. Isolate the workspace
Start on a clean branch or disposable environment, remove unnecessary secrets, scope repository and cloud credentials, and keep trusted commands narrow.
Step 2
2. Define the job
Choose a feature, bug-fix, or quick spec; state the goal, constraints, non-goals, acceptance criteria, and affected systems.
Step 3
3. Review requirements and design
Correct assumptions before implementation and explicitly check data handling, permissions, migrations, compatibility, observability, and rollback.
Step 4
4. Approve the task graph
Confirm dependencies and allow parallel execution only where tasks are independent and unlikely to edit the same files or contracts.
Step 5
5. Inspect execution
Review diffs, commands, dependency changes, generated tests, and agent tool calls at small checkpoints; reject or rewind questionable work.
Step 6
6. Verify and release
Run unit, integration, end-to-end, security, and migration tests as appropriate, obtain human code review, deploy gradually, and retain a rollback path.
Cost
Kiro pricing and free plan
Kiro uses monthly credits whose consumption varies by model multiplier and task. Paid subscribers can buy additional credits for $0.04 each. Model availability, regional routing, promotions, taxes, and enterprise terms can change, so confirm the live pricing and model pages before purchasing.
Free
$0
A limited starting tier for trying Kiro.
- 50 monthly credits
- Access to Auto and selected free-tier models
- Subject to rate limits
Pro
$20 per user per month
The entry paid plan for regular individual use.
- 1,000 monthly credits
- Access to premium models
- Additional credits available at $0.04 each
Pro+
$40 per user per month
A larger monthly credit allowance for heavier use.
- 2,000 monthly credits
- Access to premium models
- Additional credits available
Pro Max
$100 per user per month
A high-volume individual plan.
- 5,000 monthly credits
- Access to premium models
- Additional credits available
Power
$200 per user per month
Kiro's largest listed self-serve credit package.
- 10,000 monthly credits
- Access to premium models
- Additional credits available
Enterprise
Contact sales
Organization deployment, identity, governance, and support options.
- AWS IAM Identity Center and identity-provider options
- Governance and usage monitoring
- Terms, regions, and pricing depend on the agreement
Pricing checked . Check current pricing at the source ↗
Assessment
Kiro strengths and limitations
Where it stands out
- Requirements, design, and tasks create a more inspectable trail than jumping directly from a prompt to code.
- IDE, CLI, and web surfaces cover local, terminal-first, CI, and delegated cloud workflows.
- Task dependency analysis can accelerate work that divides cleanly into independent changes.
- Property-based testing can expose edge cases that a few hand-written examples miss.
- Auto routing and multiple model families let users trade capability, speed, and credit consumption.
- Steering files, AGENTS.md, skills, hooks, and MCP support reusable project context and tooling.
- Checkpoints, supervised review, protected paths, and command approvals provide useful control points.
- AWS enterprise identity, governance, monitoring, and deployment options suit organizations already operating in that ecosystem.
What to consider
- Generated requirements and designs can encode incorrect assumptions; a polished spec is not evidence that the product decision is right.
- Quick Spec can skip approval gates, so it is better suited to small, well-bounded work than risky production changes.
- Property-based testing is currently an IDE feature, is optional, and is not formal verification.
- A generated property can be wrong or too weak, and external or nondeterministic behavior still needs other kinds of tests.
- Specs are available in the IDE, CLI, and web product but not on mobile; individual spec-analysis features also vary by surface.
- Parallel agents can create merge conflicts, overlapping edits, inconsistent assumptions, or duplicated work when tasks are not truly independent.
- Both Autopilot and Supervised modes can read files, write to disk, and run commands; Supervised changes the review flow rather than the underlying capability.
- Trusted commands use prefix matching, so broad patterns or a universal wildcard can grant much more execution authority than intended.
- The local agent may access repository files, environment variables, AWS credentials, and other sensitive configuration available in its workspace.
- Cloud sessions require repository access and process code and context in AWS-operated environments; organizations should validate region, retention, privacy, and contractual requirements for their plan.
- Individual subscribers and free users are served from the United States, while enterprise inference geography depends on profile and model; GPT-5.6 requests are currently served from the US.
- MCP servers, extensions, skills, hooks, packages, and shell tools expand the supply-chain and data-access trust boundary.
- Code OSS and Open VSX support do not guarantee compatibility with every Visual Studio Code extension or Marketplace-only workflow.
- Model availability, context windows, geographic routing, and credit multipliers can change and differ by account or region.
- A plan's credit allowance does not translate to a fixed number of tasks because model choice, reasoning effort, context, and task length affect consumption.
- There are no daily or weekly paid-plan rate limits, but monthly credits and purchased overages still constrain usage and cost.
- Kiro Crew is an open-source local project, not an entitlement to the full hosted Kiro service or its paid models.
- AI-generated code still requires license review, security testing, product validation, code review, and normal production safeguards.
Compare
Kiro alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Coding
Cursor
Choose Cursor for a mature AI-first editor centered on interactive coding, repository chat, and agent workflows.
Explore Cursor →Coding
Claude Code
Choose Claude Code for an Anthropic-native terminal coding agent with strong repository and automation workflows.
Explore Claude Code →Coding
Devin Desktop (formerly Windsurf)
Choose Devin Desktop, formerly Windsurf, for an agentic editor connected to the broader Devin ecosystem.
Explore Devin Desktop (formerly Windsurf) →Business Operations
Microsoft Copilot
Consider Microsoft's Copilot ecosystem when Microsoft identity, enterprise governance, and broader Microsoft workflows matter most.
Explore Microsoft Copilot →Questions
Kiro FAQs
What is Kiro?
Kiro is an AWS-built agentic engineering platform with a desktop IDE, CLI, browser-based cloud agents, mobile access, and a separate open-source Crew workspace. Its signature feature is turning requests into reviewable requirements, designs, and implementation tasks.
Is Kiro free?
Yes. The listed Free plan costs $0 and includes 50 monthly credits with selected models and rate limits. Paid plans start at $20 per user per month.
How much does Kiro cost?
As of August 30, 2026, listed self-serve plans are Free at $0, Pro at $20, Pro+ at $40, Pro Max at $100, and Power at $200 per user per month. Paid subscribers can purchase additional credits for $0.04 each. Enterprise pricing is custom.
What are Kiro specs?
Specs are structured project artifacts for requirements, technical design, and implementation tasks. Kiro offers feature, bug-fix, and quick-spec workflows, but developers should review the content before allowing implementation.
Does Kiro support parallel agents?
Yes. Kiro can map task dependencies and run independent tasks in parallel waves. Parallelism is most useful when tasks do not touch the same files, schemas, or interfaces.
Which AI models does Kiro use?
Kiro offers Auto routing plus supported models from OpenAI, Anthropic, and open-weight providers. Each model can have a different context window, region, plan requirement, and credit multiplier, so check the live model table for the current lineup.
Is Kiro safe to use on production code?
Kiro provides approvals, supervised mode, protected paths, checkpoints, and enterprise controls, but its agents can still read files, write code, and run commands. Use isolated workspaces, least-privilege credentials, narrow trusted-command rules, human review, tests, and staged deployments.
Is Kiro the same as Visual Studio Code?
No. Kiro's IDE is based on Code OSS and uses Open VSX extensions, so it feels familiar to VS Code users, but extension availability and compatibility are not identical to Microsoft's Visual Studio Code Marketplace.
Bottom line
Our Kiro verdict
Kiro is a strong fit for teams that want agentic coding to begin with explicit requirements, design, and task planning instead of an immediate code dump. Its breadth across IDE, CLI, cloud sessions, and enterprise AWS controls is compelling, but buyers should evaluate the whole operating model—not just model quality. Credit economics, regional routing, permission scope, third-party tools, generated assumptions, and human review discipline will determine whether the platform improves delivery safely.
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