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AI Software Engineering Platform

AI that knows
your codebase

Connect your repo. Get confidence scores, trend analysis, and specialized AI agents that understand your project's history โ€” not just its code.

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โฌก
strvmarv / bkith-proto
Scanned 2 minutes ago ยท commit 9726722
83

Overall confidence

Well-structured architecture, strong test coverage. One vulnerable dependency unresolved for 2 scans.

91
Code Quality
88
Test Coverage
74
Dependencies
95
Security
68
Documentation

From raw code to hardened software

Connect a repo, trigger a scan. Agents handle the full lifecycle while you stay in control at every review gate.

๐Ÿ” Scan
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๐Ÿ“‹ Scope
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โš™๏ธ Implement
โ†’
๐Ÿงช Test
โ†’
๐Ÿ‘๏ธ Review
โ†’
๐Ÿš€ Deploy
โ†’
โœ“ Verify
๐Ÿ“Š

Confidence scores

Weighted scores across code quality, test coverage, dependency health, security, and documentation. Watch them trend over time.

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Trend analysis

Not just "your score is 74" โ€” but whether it's been climbing or slipping over the last 30 days. Metrics that actually mean something.

๐Ÿ”—

Webhook-driven

Every push triggers a scan automatically. Or run on-demand. Always know where your codebase stands at the latest commit.

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Plug-and-play integrations

GitHub today, GitLab and Bitbucket soon. Deploy via GitHub Actions, Docker/SSH, or Coolify. Monitoring via built-in health checks or your existing APM.

๐Ÿ›ก๏ธ

Human review gates

Agents propose, you approve. Every implementation, every deploy. You're the guide โ€” they do the work.

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Self-hosted or cloud

Your code stays yours. Run thkiln on your own infrastructure, or use our hosted platform. Single Docker Compose to get started.

AI that remembers what you decided and why

Every other platform starts cold. Each agent run is a stranger reading your code for the first time.

thkiln builds a persistent memory of your codebase โ€” architectural decisions, team preferences, known debt, past choices. By scan #10, it's not analyzing your repo. It's a member of your team.

Repo context injected into every agent run:

"This is a .NET 10 layered architecture. The team uses explicit Result<T> error handling. Test coverage has been declining โ€” 31 tests in week 1, 28 in week 3. There's a known auth refactor in progress. The vulnerable dependency flagged in scan #3 is still unresolved. Team rejected adding Redis in scan #2 โ€” prefer minimal dependencies."

Not one agent. A team.

Each agent is specialized for its domain โ€” different system prompt, different tools, different context. Generic agents produce average results. Specialized agents produce good ones.

๐Ÿ›๏ธ

Architect

System design, cross-cutting decisions, dependency analysis

โš™๏ธ

Backend

APIs, services, database, business logic, migrations

๐ŸŽจ

Frontend

Components, routing, state, UX, build optimization

๐Ÿงช

Tester

Test coverage, test writing, integration and E2E validation

๐Ÿšข

DevOps

CI/CD, Docker, infrastructure, secrets, config

๐Ÿ‘๏ธ

Reviewer

Code review, security analysis, quality gates

๐Ÿ“‹

Scoper

Breaks work into tasks, estimates effort, orders dependencies

๐Ÿ“ก

Monitor

Post-deploy health checks, anomaly detection, auto-rollback

Built for developers who ship.

Leave your email and we'll let you know when thkiln is ready. No spam โ€” just one message when the doors open.

Free during beta ยท no credit card needed