Everything We Got Wrong About Research-Plan-Implement -  Dexter Horthy

Everything We Got Wrong About Research-Plan-Implement - Dexter Horthy

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Everything We Got Wrong About Research-Plan-Implement - Dexter HorthyMLOps.community

10 concepts13 actions20 keywords

TL;DR

Dexter Horthy presents a candid retrospective on the Research-Plan-Implement (RPI) methodology for AI coding agents, admitting key mistakes: they were wrong about not reading code, wrong about relying on long plan files, and wrong about using monolithic prompts. The evolved methodology, now called "CRISPY" (Context, Research, Investigate, Structure, Plan, Yield), splits the original 85-instruction mega-prompt into smaller focused prompts under 40 instructions each, introduces a 200-line design discussion document for human-agent alignment, and emphasizes that engineers must read and own the code they ship. The core thesis is that 2-3x productivity with quality is far better than 10x speed with slop, and the engineer's thinking should never be outsourced to the AI.

ELI5

Imagine you asked a robot helper to build you a LEGO castle, but instead of talking about what you wanted first, you just said 'go build it.' The robot might build something weird! Dex learned that you need to talk to the robot step by step — first agree on what the castle looks like, then check each room as it's built. And you should always look at what the robot made before showing it to your friends!

Top Concepts

Keywords

Quick Actions

  • !Always read AI-generated production code before shipping - do not skip code review
  • !Split monolithic prompts into smaller focused prompts with fewer than 40 instructions each
  • !Do not outsource the thinking - engineer must make all key design decisions
1m 43s42,112 tokens
Claude Opus 4.5prompts v1.2v1.0?

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