Unify scattered documentation into a single repository directory. This creates a single source of truth, improving consistency and efficiency for both human engineers and AI agents.
with Claire Vo
Create a docs directory within your monorepo. Organize the content by category, such as frontend, backend, or accessibility guidelines to keep it structured.
Migrate all relevant documents from scattered sources like Confluence, Google Docs, and other platforms into the new centralized docs directory.
Instead of separate rule files for each AI tool (like .cursor or .devon files), create a central do_agents_rules directory. Individual tool-specific files can then reference the universal rules from this location.
Use an AI tool like Augment to generate the centralized rule files. This can speed up the process of creating a unified rule set that governs how AI agents interact with your codebase and documentation.
Continuously improve the centralized rules by identifying areas where AI agents struggle. Refining the rules makes the agents more efficient and successful at their tasks from the start.
Create a unified rule file for our AI agents that encapsulates the rules from the cursor rules and the agent's rules files. This file should be easy for both humans and AI agents to understand and use.
Follow Sahil Lavingia's method for delegating small but impactful maintenance tasks, like fixing an internal Slack report, to the AI agent Devin. This workflow shows how to use simple, clear prompts to fix code and update system prompts without distracting your engineering team.
Learn Gumroad CEO Sahil Lavingia's process for rapidly prototyping a UI with v0, then using the AI agent Devin to autonomously code, implement, and submit the feature for review, turning a multi-day task into a one-hour workflow.
Improve your writing in real-time by using ChatGPT as a first reader. Get instant feedback on structure, clarity, and flow as you write, allowing you to polish your work section by section.
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