Transform
Ideas into
TestedReviewableProductionProduction
Code.
An AI feature builder integrated directly where your team works. GitHub Native. Team Focused. Quality First.
# enkai
$ enkai start
Watching for new issues...
New issue detected: #42
→ Analyzing requirements...
→ Planning implementation...
→ Writing tests first (TDD)
→ Implementing feature...
✓ PR #43 opened successfully
Create an issue,
Enkai does the rest.
Stop switching context. Just describe your feature in plain language or a GitHub issue, and watch Enkai plan, test, and build it.
The Developer Experience
No new tools to learn. No context switching. Just create an issue with the enkai:build label and watch the magic happen.
- Plans the implementation automatically
- Writes tests first following TDD principles
- Implements incrementally with quality gates
- Opens a clean, reviewable PR
# Create an issue and label it for Enkai
gh issue create \
--title "Add dark mode toggle" \
--label "enkai:build"
# Enkai automatically:
# → Plans the implementation
# → Writes tests first (TDD)
# → Implements incrementally
# → Opens a clean PR
Why Teams Choose Enkai
GitHub-Native Integration
Works where your team lives. Issues become PRs automatically. No new tools to learn.
Quality Gates Built-In
Every change runs through lint, test, and build. Automatic self-repair ensures no broken code reaches your PR.
Feature Atlas Context
Enkai consults a structured map of your codebase architecture, ensuring consistent patterns and preserving tribal knowledge.
Bounded Autonomy
The AI works within strict limits. Complex decisions surface for human approval, keeping you in control.
What Teams Are Saying
See how engineering teams are shipping faster with Enkai.
Enkai transformed our development workflow. What used to take days now takes hours, and the code quality is consistently high.
Sarah Chen
Engineering Manager, TechFlow Inc.
The TDD-first approach means every PR comes with tests already written. Our code coverage went from 60% to 95% in three months.
Marcus Rodriguez
Senior Developer, DataSync Labs
We were skeptical about AI coding tools, but Enkai's bounded autonomy model gives us confidence. It knows when to ask for help.
Emily Nakamura
CTO, Startup Ventures
Frequently Asked Questions
How does Enkai understand my codebase?
Enkai maintains a Feature Atlas—a structured documentation of your codebase's architecture and patterns. This ensures every line of code generated is consistent and idiomatic.
What happens if the AI makes a mistake?
Quality gates catch issues early. If lint, tests, or build fail, Enkai attempts auto-repair. If it cannot fix the issue within strict limits, it stops and reports exactly what went wrong.
Is my code secure?
Absolutely. We use short-lived, scoped GitHub App tokens. Builder tasks run in private subnets with restricted egress, and secrets are managed via AWS Secrets Manager.
What tech stack does Enkai support?
Currently optimized for Next.js and React applications with TypeScript. Support for additional frameworks is on the roadmap.