Codebase-Wide Context
Kabori ingests your entire project — imports, types, tests, docs — giving it the full context that single-file tools miss. Get suggestions that actually fit your architecture.
Now in Early Access
Code at the Speed of Thought
Kabori is the AI development tool built for senior engineers. Context-aware, codebase-wide intelligence that understands your architecture — not just your cursor.
Trusted by engineers at
58agentsMegatherium
Built for how senior engineers actually work
Not another autocomplete. Kabori reasons about your entire codebase to help you make better architectural decisions, faster.
Safe Multi-File Refactoring
Rename a type, extract an interface, or reorganize a module across hundreds of files. Kabori traces every reference and makes coordinated changes you can review before applying.
Architecture-Aware Planning
Describe a new feature and get implementation plans grounded in your existing patterns. Kabori respects your conventions instead of proposing foreign abstractions.
Pre-Commit Code Review
Catch bugs, security vulnerabilities, and performance issues before they reach your PR. Kabori reviews diffs in context, not in isolation.
Meaningful Test Generation
Generate tests that cover real edge cases — not just happy paths. Kabori reads your existing test patterns and generates consistent, maintainable specs.
Privacy-First by Design
Your code stays yours. Self-hosted mode keeps everything on-premise. No training on your data. No telemetry you didn't opt into. Built for teams where IP matters.
From intent to implementation
A workflow designed for engineers who think in systems, not files.
Connect your repository
Point Kabori at your repo. It indexes your codebase in minutes — types, imports, test coverage, architecture patterns.
Describe your intent
Tell Kabori what you want to build or change in plain English. No special syntax. No prompt engineering.
Review the plan
Kabori proposes a step-by-step implementation plan with file changes you can review, edit, or reject before any code is written.
Apply and iterate
Apply changes atomically, run your tests, and iterate. Kabori tracks what changed and why across your entire session.
Your workflow, end to end
From creating a task to merging the result — a clear, repeatable process for every feature and fix.
Create Task
Initiate a new task in the system. Describe what you want to build or change — Kabori picks it up and begins refinement.
Approve Refinement
Review the AI-refined task description, make any adjustments, then approve it to move the task into the active In Progress state.
Review Results
Inspect the output produced by Kabori. When the result meets your expectations, proceed to merge.
Not satisfied? Raise a change request and return to this step.
Approve & Merge MR
Approve the final output and merge the pull request. Your task is complete and the changes are live in your codebase.
Fully autonomous
You hand off the task. Kabori handles the rest.
The AI runs the full review-and-fix loop autonomously — only surfacing the merge request when it is genuinely ready for your final review.
Steps 01–05 run without you. Step 06 is yours.
Ready to orchestrate your development?
Join the waitlist for early access. We're onboarding senior engineers and teams who want to shape the future of AI-assisted development.
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