Kiro vs Cursor: Spec-Driven or Flow-First AI Coding?

Kiro vs Cursor isn't really a question of which AI is smarter. Both let you pick from many of the same frontier models. It's a question of when you want to think.

Kiro is AWS's agentic coding platform, and it pushes you to write requirements, a design, and a task list before any code changes. Cursor is an AI-first editor built for flow: you type, it completes, the agent edits, and you plan only when the task calls for it. Both are based on the VS Code codebase, both speak MCP, and both now have a CLI and cloud agents.

The short version:

• Kiro turns a prompt into three files (requirements, design, tasks) and then works through the tasks. Structure is the default
• Cursor starts you in an agent chat with fast tab completion. Its Plan Mode adds structure, but you opt in
• Both have project rules, event hooks, MCP, a terminal CLI, and agents that run in the cloud and open pull requests
• Billing differs. Kiro counts credits per prompt, weighted by model. Cursor bundles usage pools into a subscription

Quick comparison

The real difference: spec-driven vs flow-first

Take one task: "add password reset to the app." In Kiro, you'd usually start a spec. Kiro's spec workflow produces three files:

1. requirements.md with user stories and acceptance criteria (or bugfix.md for a bug)
2. design.md with the technical approach, architecture, and sequence diagrams
3. tasks.md with discrete, trackable implementation steps

You review each file before the next one is built. Then Kiro works through the task list, showing each task as in progress or done. It also looks at which tasks depend on each other and runs the independent ones in parallel "waves."

In Cursor, you'd usually just ask the agent. It reads the code, edits files, runs commands, and shows you diffs. If the change is big or fuzzy, you press Shift+Tab to switch into Plan Mode. The agent asks clarifying questions, researches the codebase, and writes a markdown plan you can edit before it builds.

So Cursor does plan. The contrast is about defaults and depth:

Kiro isn't spec-only either. Its chat runs "vibe" sessions as well as spec sessions, and Kiro Web adds a default interactive mode and an autonomous mode. Both tools cover both styles. They just start from opposite ends.

If your trouble is AI code that drifts from what you meant, Kiro's default helps more. If your trouble is friction between the idea and the edit, Cursor's default helps more.

Project rules, hooks, and MCP

This is where the two have converged the most. Each tool lets you write down how your project works so the agent doesn't have to guess.

Guidance files. Kiro calls them steering files. Three come by default: product.md (what the product is for), tech.md (frameworks and constraints), and structure.md (file layout and naming). They live in .kiro/steering/ for one project or ~/.kiro/steering/ for all of them, and you can set each to load always, on matching files, manually, or automatically. Cursor's rules work much the same way: .mdc files in .cursor/rules/ that apply always, intelligently, to matching files, or when you @-mention them. Cursor also has user rules and organization-wide Team Rules. Both tools read AGENTS.md.

Hooks. Kiro's agent hooks fire on events like a file save, create, or delete, before or after a tool runs, or when a task finishes. A hook can run a shell command or inject a prompt into the agent's conversation. Cursor's hooks cover a longer list of events, from beforeShellExecution to afterFileEdit to stop, and can be set at user, project, team, or enterprise level.

MCP. Both support the Model Context Protocol, with local (stdio) and remote (HTTP/SSE) servers. Kiro supports MCP across its IDE, CLI, and web surfaces. Cursor cloud agents can use MCP servers too.

The gap here is small. Kiro gives you a starting template; Cursor gives you more hook events.

Models, cost, and pricing

Models. People often assume Kiro is Claude-only. It isn't. Kiro's model list covers Anthropic's Claude family, OpenAI's GPT models, and open-weight models from DeepSeek, MiniMax, Zhipu (GLM), and Qwen. An Auto option routes each task to a model for you. Cursor supports models from OpenAI, Anthropic, Google, and SpaceXAI, plus its own Composer models, with an Auto router that you can tune toward cost, balance, or intelligence. Model lineups change monthly, so check each vendor's current list rather than trusting any blog post, this one included.

Kiro vs Cursor pricing. The billing models are shaped differently:

• Kiro uses credits. Its pricing page says "A credit is a unit of work in response to user prompts." Simple prompts can cost less than one credit, and premium models cost more credits than Auto. Each paid plan comes with a monthly credit allowance, and you can buy add-on credits when you run out
• Cursor uses a subscription with two usage pools: one for Cursor's own models and one for third-party models at API rates. When you use up your included usage, you can turn on pay-as-you-go on-demand usage or move to a higher plan

Which is cheaper depends on how you work. Kiro's credit meter maps neatly to prompts and shows you the cost of each one. Cursor's pools go furthest if you lean on Cursor's own models, which have their own included allowance. Run a normal week of work in each and compare the meters, not the plan cards.

Kiro IDE vs Cursor for teams

For teams, the questions shift from features to governance.

Kiro leans on AWS. Its enterprise page lists SSO through Okta, Entra ID, and AWS IAM Identity Center, central registries to govern models, MCP servers, and extensions, and per-prompt credit visibility. It says content on its paid individual plans isn't used to train foundation models, that Kiro is a HIPAA eligible service, and that it offers indemnity for its output. One catch from Kiro's FAQ: content from free-tier users, and from subscribers who sign in with a social login or AWS Builder ID, may be used for service improvement unless they opt out. Teams should sign in through an organization identity.

Cursor offers SAML/OIDC SSO, central billing, team-wide Privacy Mode, and usage analytics on its team plans. Its strongest team feature is cloud agents. They run in isolated cloud VMs and can be started from the editor, the web, Slack, GitHub, or Linear. They return pull requests with screenshots, videos, and logs. Kiro Web does something similar: it plans, codes, and opens pull requests or merge requests on GitHub and GitLab, and it never merges on its own.

Ownership matters to some teams too. Cursor was acquired by SpaceX on August 14, 2026, completing a process that began in April. Kiro is built and operated by AWS. If your company already runs on AWS, Kiro fits existing identity and procurement. If your team lives in Slack and GitHub, Cursor's cloud agents fit the way you already hand off work.

Where Kiro is stronger

Structure by default. The spec forces the "what are we building?" conversation before any code exists. That's where many AI coding projects go wrong.

A paper trail. Requirements, design, and tasks stay in the repo. A new teammate or a reviewer can see why the code looks the way it does.

Built-in testing ideas. Kiro promotes property-based tests, which check a rule across many inputs instead of a few hand-picked examples.

AWS fit. SSO, governance registries, and indemnity line up with how AWS shops already buy software.

Where Cursor is stronger

Speed in the editor. Tab completion, inline edits, and agent diffs are tuned to work together. For small and medium changes, skipping a spec is faster.

Planning when you want it. Plan Mode gives you most of the benefit of a spec for big tasks without making every task a spec.

Cloud agents everywhere. Starting an agent from a Slack thread or a GitHub comment fits how many teams already work.

Which one should you pick?

• Building a new feature with fuzzy requirements? Try Kiro. The spec will surface the questions early.
• Making many small changes all day? Choose Cursor.
• Your company standardizes on AWS? Kiro will be easier to roll out.
• Your team already delegates work in Slack and GitHub? Cursor's cloud agents fit in.
• Can't decide? Use Cursor's Plan Mode for a week. If you keep wishing the plan were three files with tracked tasks, that's your answer.

For the wider field, Cursor alternatives sorts the options by why people leave. If you'd rather drop the editor and work in a terminal, Claude Code vs Cursor covers that trade. And the best AI IDE roundup puts both tools next to the rest.

When the hard part comes before the code

Kiro and Cursor both assume you have a repo and want help changing it. Plenty of people get stuck earlier: they found a working AI agent or workflow someone shared and never got it running. Taku is built for that gap. You mirror a working AI setup into a desktop workspace, run it, and remix it, without rebuilding someone else's environment first. Taku is in Beta, and the Mac app is available now.

FAQ

Is Kiro better than Cursor?

It depends on how you like to work. Kiro is better when you want requirements and a design pinned down before code, with a written record in the repo. Cursor is better for fast, hands-on editing, with planning available when you ask for it. Both use many of the same models, so the workflow matters more than the AI.

What is Kiro spec-driven development?

It's Kiro's main workflow. You describe a feature, and Kiro writes a requirements file with user stories and acceptance criteria, a design file with the technical approach, and a tasks file with implementation steps. You review each file, then Kiro works through the tasks and tracks their status. Bugfix Specs and Quick Spec are variations of the same idea.

Does Cursor have spec-driven development?

Not by that name. Cursor's Plan Mode asks clarifying questions, researches your code, and writes an editable markdown plan before building. It's a single plan file instead of three linked documents, and you switch into it when you want it.

How does Kiro vs Cursor pricing compare?

Kiro charges in credits, where a credit is a unit of work per prompt and premium models use more of them. Cursor sells subscriptions with included usage pools and optional on-demand usage. Check Kiro's pricing page and Cursor's for current plans before you commit, since plans and allowances change.

Is Kiro only for Claude models?

No. Kiro offers Claude models, OpenAI's GPT models, and open-weight models such as DeepSeek and Qwen, plus an Auto mode that picks a model per task.

Is Kiro a VS Code fork like Cursor?

Both are built on the VS Code codebase. Kiro says it's based on Code OSS and can import your VS Code settings, themes, and Open VSX compatible plugins. Cursor imports VS Code extensions, themes, settings, and keybindings.