Codebase-aware generation
The AI reads your existing source tree before writing a single line — matching your naming conventions, reusing your utilities, and respecting your architecture.
AI Workloads
From spec to working code
Kabori translates your refined specs into production-ready implementations, keeps feature branches current with main, and resolves merge conflicts semantically — covering the full implementation lifecycle.
01 · Implement a Solution
From specification to working code
Implement a Solution takes your refined task spec and translates it into production-ready code — codebase-aware, test-covered, and staged as a reviewable diff.
feature/rate-limiting · implementation diff
+++ b/src/middleware/rateLimiter.ts
+ export function createRateLimiter(opts: RateLimitOpts) {
+ const store = new SlidingWindowStore(opts.windowMs);
+ return (req: Request) => store.check(req.userId);
+ }
+++ b/src/middleware/rateLimiter.test.ts
+ it('rejects the 101st request', ...)
Spec-driven output
Implementation is driven directly from your refined task spec — requirements map to code, acceptance criteria map to tests. Nothing is guessed.
Incremental and reviewable
Changes are staged as a clean diff — not a full rewrite. Review the AI's output the same way you'd review a colleague's pull request.
Tests included
Implementation ships alongside unit and integration tests derived from the task's test plan — so coverage doesn't slip as features land.
02 · Update Branch
Keep branches in sync
Kabori updates your feature branches from main or develop — handling the rebase, resolving conflicts, and verifying the result so you don't have to.
feature/rate-limiting · rebased onto main
$ git rebase origin/main
Replaying 4 commits onto main...
Conflict in src/config.ts — resolving...
✓ Conflict resolved semantically
Running test suite...
✓ 142 tests passed
Branch is up to date and green
Automated rebase
Kabori rebases your branch onto the latest target — replaying commits cleanly and surfacing any conflicts that need attention.
Conflict resolution included
When conflicts arise during the update, the AI resolves them semantically — same quality as the dedicated Resolve Merge Conflicts workload.
Post-update verification
After updating, Kabori runs your test suite to confirm the branch is still green — catching regressions before they reach review.
Change summary
A concise summary of what changed upstream during the update — so you know exactly what new commits are now part of your branch's history.
Related features:
Integrations03 · Resolve Merge Conflicts
Merge conflicts resolved with intent
Kabori resolves merge conflicts semantically — understanding what both sides intended and producing a resolution that honours both, rather than blindly picking one.
src/auth/session.ts · conflict resolved
<<<<<<< HEAD
const ttl = config.sessionTtl ?? 3600;
=======
const ttl = opts.ttl ?? config.defaultTtl;
>>>>>>> feature/configurable-sessions
AI resolution:
const ttl = opts.ttl ?? config.sessionTtl ?? 3600;
Reason: honours both the new per-call override and the config fallback
Semantic resolution
The AI understands what both sides of a conflict are trying to achieve — and resolves in a way that honours the intent of both changes, not just the syntax.
Full codebase context
Conflict resolution considers the broader file, related modules, and recent commit history — not just the conflicting lines in isolation.
Handles multiple conflicts at once
Even large merges with dozens of conflicting files are resolved in a single pass — no more resolving conflicts one file at a time.
Resolution rationale
Every resolved conflict comes with a brief explanation of why the AI chose that resolution — giving reviewers the confidence to approve without guessing.
Ship faster without cutting corners
Join the private beta and let Kabori handle the implementation boilerplate while your engineers focus on the decisions that actually require expertise.