RAAV Blog
Agent memory, launch readiness, and founder workflows — not generic code-scan hype.
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How to manage an AI-built app when you cannot code
A practical founder guide to knowing what Claude Code, Codex, Cursor, or Gemini CLI has built, what still needs checking, and what your agent should do next. Includes prompts for progress reviews, project memory, scope control, and handoffs.
By Ville Ylläsjärvi · August 28, 2026
Product Management Memory for AI Agent Teams
Your roadmap may be in Notion while your agents work from chat. Product management memory is the small, durable record that keeps goals, tasks, and decisions consistent between the two.
By Ville Ylläsjärvi · July 2, 2026
How to Give Claude Code Persistent Project Memory
A strong Claude Code session can still leave the next session guessing. Here is a practical way to keep product decisions, task ownership, and verification outside the chat transcript.
By Ville Ylläsjärvi · June 25, 2026
Launch Checklist for AI-Built Apps in 2026
A launch checklist is only useful when every check points to evidence. This is the short list I use to separate “the agent said done” from work I would actually release.
By Ville Ylläsjärvi · June 18, 2026
Developer Handoff Without Two Weeks of Discovery
When a freelancer leaves or you hire your first engineer, product memory beats Slack threads and git blame.
By Ville Ylläsjärvi · June 11, 2026
All posts
How to manage an AI-built app when you cannot code
A practical founder guide to knowing what Claude Code, Codex, Cursor, or Gemini CLI has built, what still needs checking, and what your agent should do next. Includes prompts for progress reviews, project memory, scope control, and handoffs.
Your AI coding agent forgot the project: how to recover context
A founder workflow for recovering approved decisions, unfinished work, and verification evidence when a new Claude Code, Codex, Cursor, or Gemini CLI session seems to start from scratch.
Your AI agent fixes one bug and breaks another: a founder repair workflow
How to turn repeated AI coding fixes into a reproducible investigation, a bounded repair, and evidence you can review without reading every line of code.
How to stop your AI coding agent from building the wrong product
A founder guide to keeping AI coding work aligned with the customer problem, separating prerequisites from optional ideas, and reviewing changes before the release grows.
How to switch AI coding agents without losing your project
A practical project handoff for founders moving between Claude Code, Codex, Cursor, or Gemini CLI: preserve scope, unfinished changes, verification, and the next action.
Who can build a product with AI coding agents without being a developer?
A practical fit check for non-coding founders: what you need to own, where an agent can help, and when the project needs technical expertise beyond prompting.
Why AI coding still needs a founder to manage the product
When an agent can produce code, the founder’s job becomes making the goal, decisions, and evidence clear. Here is a practical way to manage that responsibility without reading every implementation detail.
Why now is a useful time for non-coding founders to test a product idea
Coding agents make a practical experiment possible: describe one customer outcome, inspect the result, and learn whether to continue. Here is how to use that opportunity without confusing a prototype with a business.
Why AI Coding Agents Fail Without Product Memory
Two recent studies looked at tens of thousands of pull requests written by coding agents. The pattern is uncomfortable: agents can produce code quickly, but they still lose context, take on work nobody wanted, and hand reviewers changes that are too broad to trust.
Product Management Memory for AI Agent Teams
Your roadmap may be in Notion while your agents work from chat. Product management memory is the small, durable record that keeps goals, tasks, and decisions consistent between the two.
How to Give Claude Code Persistent Project Memory
A strong Claude Code session can still leave the next session guessing. Here is a practical way to keep product decisions, task ownership, and verification outside the chat transcript.
Launch Checklist for AI-Built Apps in 2026
A launch checklist is only useful when every check points to evidence. This is the short list I use to separate “the agent said done” from work I would actually release.
Developer Handoff Without Two Weeks of Discovery
When a freelancer leaves or you hire your first engineer, product memory beats Slack threads and git blame.
Why AI Agent Sessions Forget Your Product (And What to Do About It)
Cursor, Codex, and Claude Code start from different sessions. The fix is not a longer prompt; it is a small project record that survives all three.