An autonomous engineering team
in a box.
Briar picks up your Jira and GitHub issues, implements them, opens reviewed pull requests under your name, and learns from every review — so one engineer ships like a team.
The bottleneck
Most engineering hours don't go into engineering.
They go into ticket triage, repetitive boilerplate, reading the same conventions, fixing the same review nits, waiting on CI, and rebasing. Briar does all of that while your team thinks.
- You assign a Jira ticket. Briar reads the description, looks at the codebase, and starts implementing — within minutes, not days.
- You leave a PR review comment. Briar pushes a fix, re-runs CI, and re-requests review.
- You ship the same kind of feature again. Briar already knows your patterns — from every prior merged PR.
How it works
Four steps, then it runs itself.
Watches your tracker
Briar polls Jira and GitHub Issues on a timer. New assignment in your name → it starts work.
Reads, writes, tests
Branches from main, reads the relevant files, drafts the change, runs your tests and linters, iterates until they pass.
Opens it under your identity
Pushes a feature branch and opens a pull request authored by you — no separate bot account, no compliance friction.
Remembers what your team cares about
Every merged PR feeds an append-only lessons registry and per-reviewer memory. Reviewer preferences compound automatically.
What makes it different
Not another code-suggestion plugin.
Briar runs end-to-end without a human in the IDE. It's an orchestrator, not an assistant.
Multi-repo, multi-tenant
One Briar instance serves multiple companies and repositories — perfect for solo founders, consultancies, and platform teams that maintain many services.
Reviewer-aware
Briar mines your merged PRs to learn each reviewer's standards — testing rigor, naming conventions, comment style — and applies them preemptively.
Runs on your infrastructure
Self-hosted on any Linux box. Your code never leaves your perimeter. Only the model calls cross the boundary, and those are configurable.
PRs ship under your GitHub identity
No "bot" author. Your contribution graph stays green. Your reviewers see your name on the PR.
Append-only knowledge layer
Every PR review adds to a markdown-based lessons file. Next implementation reads them before committing — your team's tribal knowledge becomes a runtime input.
Honest failure modes
When Briar isn't sure, it bails with a clear reason to Telegram instead of pushing a guess. You stay in control of what ships.
FAQ
Common questions
- Does Briar replace my developers?
- No — it replaces the bottleneck. One senior engineer with Briar ships the volume of a small team. Engineers keep architecture and judgment; Briar takes the repetitive loop.
- What models does Briar use?
- It's model-agnostic. Default deployment runs on Anthropic's Claude family for implementation and review; you bring your own keys.
- Where does my code live?
- On your own Linux host. Briar checks out your repositories locally, runs your test suite locally, and pushes branches via your own GitHub credentials.
- How does it integrate with my workflow?
- Jira and GitHub Issues for input. GitHub for output. Telegram for status. No new tools to adopt.
- When is it available?
- Early access is opening throughout 2026. Join the waitlist below.
Early access
Want a teammate that ships at night?
Join the waitlist. We'll reach out as slots open.