Loop Engineering: The Next Layer After Prompt Engineering
Peter Steinberger and Boris Cherny both say the job is designing loops, not writing prompts. Feedback, stop conditions, and token cost decide if it works.
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Notes from the build loop.
Tested AI coding workflows, coding-agent field notes, and honest LLM reviews for builders using Codex, Claude Code, Cursor, and agents.
A Practical Guide to Using /goal in Codex
Use Codex goals as completion contracts with explicit outcomes, verification, constraints, iteration rules, and safe stop conditions.
Read articleCodex Is No Longer Just a Coding Tool
OpenAI repositioned Codex for knowledge work with role-specific plugins, hosted Sites, and Annotations. Non-developers are growing fastest.
Read articleMiniMax M3: Opus-Level Coding, DeepSeek Pricing
MiniMax M3 launched with 1M context, near-Opus coding scores, DeepSeek-like API pricing, and two ways to try it immediately.
Read articleUsed Codex to figure out what was eating my Mac's storage
A read-only Codex prompt that turned macOS System Data into a prioritized storage map, with 180 GB reclaimable on a 1TB Mac.
Read articleLet Codex Distill Your Own Workflow
How Codex can review your recent work, find repeated manual workflows, and turn the best ones into reusable skills, agents, or automations.
Read articleRecreate the Viral 3D Medical Teaching Model in 4 Steps
Rebuild a classroom-ready 3D anatomy viewer with AI-generated images, 3D reconstruction, GLB compression, and a coding agent.
Read articleHow to Build a Self-Improving Company with AI
YC partner Tom Blomfield's framing: make company knowledge machine-readable, then run loops that sense, decide, act, and improve overnight.
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