Introducing Afara, now in public beta

Every feature depends on work another team did. The checkout page depends on the payments API. The test plan depends on both. The payments API depends on rules product agreed with the business weeks ago.

That context has always been hard to pass across. It lives in another team’s repository, another team’s board, or someone’s memory. Coding agents make the problem sharper: an agent builds from what’s in front of it, so it guesses endpoints, ignores business rules it never saw, and writes services in whatever style it likes.

Afara is a CLI and dashboard that carries context between teams and injects it into their coding agents. Today the CLI is in public beta for macOS, Linux and Windows.

Context between teams

Afara derives context from what each team ships and writes, then hands it to the teams that build on it:

• Frontend gets the backend implementation (endpoints, responses and server-side behaviour, as built) along with their own tickets.
• QA gets the frontend and backend context Afara derived, and tests the app that actually exists.
• Engineering gets the product and business context behind the work: stories, acceptance criteria and the rules the business depends on.

All of it is injected into the local coding agent each engineer already uses: Claude Code, OpenAI Codex CLI or Gemini CLI.

Patterns every agent follows

Companies can also set strict patterns, and Afara injects them whenever a service or feature is built:

• Enterprise patterns describe how services communicate across the organisation: protocols, messaging and entry points.
• Service patterns describe how each service is built inside: layers, boundaries and where business rules live.

Where the context comes from

Afara works on one feature at a time. It draws a code wireframe from your commits (screens, steps and API calls, each tied to a file and line range) and a story wireframe from the linked Jira, Linear or GitHub issue. That’s the context other teams receive.

afara generate --feature "card payment"
afara link --issue PAY-981
afara push

To keep that context honest, afara compare lines the two wireframes up and flags behaviour nobody wrote down, requirements not built yet, and steps that happen in a different order.

Your code stays where it is

Afara reads commits, never your working tree. The analysis runs on your machine, with your own AI coding tool, in a read-only copy of the repository. Only the derived context is shared when you run afara push.

Getting started

Install the CLI with Homebrew, Scoop or the install script, sign in, and run afara init in a repository. The documentation walks through the rest. If you’d like to see the context your agents would get, book a demo.