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BetaDeveloper tools · Since 2026

Afara

Every team's context, in every coding agent.

Afara turns each team's code and tickets into context, and injects it, with your company's enterprise and service patterns, into every coding agent that builds on it.

What's inside

Features

  • A CLI next to git

    Generate, link, push and compare from the terminal, with a pre-push hook that stays offline and fast.

  • Wireframes, not source

    Features are captured as nodes, edges and file references. The backend never stores your code.

  • Your agent, your tickets

    Works with Claude Code, OpenAI Codex CLI and Gemini CLI, and links to GitHub, Linear and Jira.

  • 3

    AI coding tools supported

  • 0

    Lines of source sent to our servers

  • 3

    Platforms, from one signed release

The story

The problem

Every engineering team loses time at the same seams. Frontend waits on backend to explain an endpoint. QA tests from a ticket that no longer matches the app. Then coding agents arrived and the gap got wider: an agent only knows what’s in front of it. It will happily build against an endpoint it guessed, in a style your architects banned, for a ticket it never saw.

What Afara does

Afara means bridge in Yoruba. It derives context from what each team ships and writes, and injects it, with the company’s enterprise and service patterns, into the coding agent of every team that builds on it.

  • A CLI that runs next to git, drives the AI coding tool the engineer already uses, and installs a pre-push hook that stays offline and fast.
  • A backend that stores wireframes of features, never source code.
  • A dashboard where product, QA and engineering see the same picture of what was built against what was asked for.

How it’s built

Analysis runs on the engineer’s machine, on commits only. That one decision shaped everything else: the data model, the security story and the way we price. Uncommitted work is never read, and the backend never receives source.

Try it

Afara is in beta. Install the CLI, connect a repository and a ticket, and see the context your agent would get.

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Help us build what comes next.

We're a small team building AI products for the people who build software. If that sounds like your kind of problem, we'd like to meet you.