System prompts are constraint specs, not descriptions: a 4-step framework to stop LLM degradation in production
ClickOk5811 · reddit · 2026-07-31
Based on experience building multiple LLM-backed systems, the author argues system prompts should be treated as constraint specs, not role descriptions. Common failure: passes demos but breaks in production when users phrase things unexpectedly. Four elements: 1) narrowly define scope; 2) verbatim decline behavior; 3) output format as a rule, not an example; 4) explicit ambiguity handling. Most 'model got worse' complaints stem from undefined implicit decisions. Includes sample prompt diff and discussion on versioning/testing prompts like code.
More from coding & agent
- AI-Generated Code Floods GitHub: Repos Turned into Dumpster Fires of Issues and PRs — DanielLockyer · 2026-07-31
- Running Multiple Agents in Git Worktrees Feels Like an RTS Game — Dan_Jeffries1 · 2026-07-31
- Open Source Project Automates Bank Statement Extraction with YOLO and LLMs — tom_doerr · 2026-07-31
- AITOPIA Launches SuperAgent Scotty for Autonomous Cross-Platform Content Creation — SimplyAnnisa · 2026-07-31
- Testing Ling 3.0 Flash: Generates and Renders 3D City via Blender MCP from a Single Prompt — niacolhealth · 2026-07-31
- Addicted to AI Coding Tools: Just One More Bug Fix Bro — NielsRogge · 2026-07-31