Thread 10 - review bots need context engineering
Platform
- X
Link
Post Text (Key Excerpt)
ask a bot to review for problems, it will find a bunch. ask it if the code is good, it will wax poetic. it takes a lot of skill and context engineering to build an llm that can evaluate things.Why It Matches Ryva ICP
It highlights practical review failure in real workflows where evaluation quality depends on context framing, not model output volume.
Underlying Problem
Without structured context, automated review optimizes for verbosity instead of decision quality.
Suggested Public Response (Copy)
Exactly. Review quality is mostly a context problem, not a model problem. If intent, constraints, and ownership are missing, bots generate confident noise instead of useful decisions.Suggested DM Idea (Copy)
What context inputs made the biggest difference in your bot reviews: constraints, architecture notes, or ownership rules?Snapshot
- Author: @dexhorthy
- Captured date label: 2026-03-29
- Recency window: within past 7 days