Thread 8: Codegen Needs Stateful Product Context
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Full Post Text (Key Excerpt)
“We’re going all-in on codegen agents but hitting a roadblock around stateful product and architecture context.”
Why This Matches Ryva ICP
Excellent ICP fit: technical PM with an engineering org actively adopting AI, now blocked by context continuity and system-level understanding.
Underlying Problem
Agent output lacks durable project memory, so architecture decisions and product constraints are repeatedly reintroduced by humans.
Suggested Public Reply (Copy)
You've hit the core scaling issue: codegen without persistent product/architecture context creates fast local output but unstable system behavior. Teams improve when every generated change is grounded in a maintained context layer: goals, constraints, dependencies, and decision history.Suggested DM Idea (Copy)
If useful, I can send a practical context schema teams attach to codegen workflows. Want the template?