RAAV vs GitHub Issues for AI agents

GitHub Issues track tickets. RAAV is memory agents operate through.

GitHub Issues can hold the backlog. RAAV carries the product context, active ownership, and verification an agent needs while completing an issue.

What RAAV gives agents

  • A task arrives with the product context needed to act on it
  • Product truth and acceptance criteria sit next to the work
  • Claims and lanes make parallel work watchable
  • Audit trail records verification a ticket never captures

The problem

A GitHub issue says what someone wants. By itself, it carries no current product context, file ownership, or completed-run verification for the agent and founder to share.

The RAAV layer

A RAAV task connects the request to product context, acceptance criteria, claimed files, a branch lane, and the final verification. GitHub Issues can still hold the public backlog; RAAV carries the operating state the agent needs.

A ticket is a request; agents need the whole loop

GitHub Issues are great for tracking human requests. Agents need more: product truth behind the ticket, file ownership while working, and a verification record after. RAAV supplies that.

A ticket does not carry product truth

An issue title plus a comment thread assumes a human remembers the roadmap and the constraints. An agent needs the product promise, scope, and acceptance criteria made explicit.

RAAV keeps product truth next to the task so agents do not work from a vague ticket.

  • Product Handbook behind each task
  • Acceptance criteria attached to work
  • Scope and non-goals explicit

Issues need live ownership once work starts

Issues do not show which agent is editing which files right now. RAAV claims and swimlanes make parallel work visible before diffs collide.

The agent sees claimed files before editing, while the founder sees the same active work on the board.

  • File claims and branch lanes
  • Swimlanes across agents
  • Conflict checks before edits

Close the gap between merged and understood

Agents propose product changes instead of inferring them from a ticket. Their verification remains available after the issue is closed.

Tickets track intent; RAAV tracks proof.

  • Proposals gate material changes
  • Verification recorded on submit
  • Audit export for founder review

How the agent loop works

RAAV does not replace your coding agent. It gives the agent a durable operating system for product truth, task ownership, and proof.

Plan

Product truth and acceptance criteria sit behind the task.

Claim

Agents claim files and lanes so work is watchable.

Submit

Agents record verification and risks, not just a closed issue.

Supervise

The founder reviews proposals and reads the audit trail.

Give tickets a product-memory backbone

Ask your agent to install RAAV so an issue can be paired with product context, active ownership, and verification.

Paste this into your coding agent
Install RAAV in this repo. Behind each task keep product truth and acceptance criteria, make agents claim files and check conflicts, and record verification on submit.

GitHub can remain the public issue tracker. RAAV keeps the repository-side operating record for agents.

Why this is different

Most tools either write code or track human tickets. RAAV sits between the founder and the coding agents as shared product memory, coordination, and audit.

Product truth, claims, and verification the ticket lacks
Task state is explicit and agent-readable without an extra model interpreting it
The Trial costs €10/week; public checkout is waiting on the current founder trial

GitHub Issues vs RAAV

Context
A title plus a comment thread.
Product truth and acceptance criteria behind the task.
Watch
No view of who is editing which files.
Claims and swimlanes make ownership visible.
Supervise
A closed issue records no verification.
Audit trail records verification and risk.

FAQ

This page answers whether GitHub Issues can be your agent PM layer.

Can I just use GitHub Issues for agents?

Issues track requests well, but they carry no product truth, no file ownership, and no verification record. RAAV adds repo-local memory, claims, a review queue, swimlanes, and an audit trail.

Does RAAV replace GitHub Issues?

Not necessarily. RAAV can be the agent-operable memory layer and sync selected status with Issues later. The first goal is proving the agent workflow.

Is RAAV a coding agent?

No. GitHub Issues and RAAV both organize work; Codex, Claude Code, Cursor, or another agent still performs it.

What does it cost?

The Trial is €10/week. Solo and Team add more projects, longer records, and collaboration. Accounts are currently opened through founder testing rather than self-serve checkout.

RAAV vs GitHub Issues for AI agents | RAAV