The timing couldn’t be better—I’ve been maintaining my own set of Markdown instruction files for Claude Code over the past few months, and the impact has been dramatic. Without those context files, you’re essentially asking the model to guess your architectural decisions every time.
The timing on this is great — I've been maintaining my own set of markdown instruction files for Claude Code over the past few months and the difference it makes is night and day. Without context files, you're basically asking the model to guess your architecture decisions every single time. I built an AI system that orchestrates across multiple models (Claude, GPT, Haiku) and the biggest unlock wasn't better prompts — it was giving each agent a persistent markdown file with decision history, coding conventions, and past failures to avoid. Curious whether you've experimented with chaining these cheatsheets across multi-agent setups, or if they're primarily single-session references?
The timing couldn’t be better—I’ve been maintaining my own set of Markdown instruction files for Claude Code over the past few months, and the impact has been dramatic. Without those context files, you’re essentially asking the model to guess your architectural decisions every time.
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The timing on this is great — I've been maintaining my own set of markdown instruction files for Claude Code over the past few months and the difference it makes is night and day. Without context files, you're basically asking the model to guess your architecture decisions every single time. I built an AI system that orchestrates across multiple models (Claude, GPT, Haiku) and the biggest unlock wasn't better prompts — it was giving each agent a persistent markdown file with decision history, coding conventions, and past failures to avoid. Curious whether you've experimented with chaining these cheatsheets across multi-agent setups, or if they're primarily single-session references?
These cheatsheets are exactly what engineers need to move faster with AI.