Constraint-context prompting: telling the LLM what NOT to do yields actionable output
JafarNajafov · x · 2026-10-13
Part 3 of a context-engineering series: constraints force focused output. Template: DO NOT include clichés, must include specifics, max length, fixed format, stated priority. The screenshot shows it turning 'validate a SaaS idea in a weekend' into a concrete 5-step plan — Carrd landing page in 2 hours, $50 Reddit ads, a 48-hour kill/pivot threshold, Mom Test interviews, and an Airtable+Make prototype sold at 50% off before writing code.
More from coding & agent
- LangChain adds support for ScaleDown's cheap, fast constrained decision models for agent loops — LangChain · 2026-10-13
- Yoniq Compute repo ships inference recipes validated on 1x-8x RTX Pro 6000 with SGLang and vLLM — TheZachMueller · 2026-10-13
- SaaS Vendors and Agencies Are Asking to Plug Into HQ, the New Entry Point for Work — jacob_posel · 2026-10-13
- He Built a 7-Bot Product Swarm on Grok Bot — Here's What Actually Works — PawelHuryn · 2026-10-13
- Claude tried installing ffmpeg from a sketchy fork instead of apt while setting up a VM — haydendevs · 2026-10-13
- Google rolling out custom MCP support in Gemini desktop app to more users — testingcatalog · 2026-10-13