I used coding agents to build agents that automated part of my job. Here's what I learned about working better with coding agents. The post Agent-driven development in Copilot Applied Science appeared
AI Summary
To achieve agent-driven development in Copilot Applied Science, Tyler McGoffin developed a system to automate his intellectual work by creating a coding agent, eval-agents, which analyzes large amounts of code data. He enabled fast development and collaboration by following three core principles: using prompting strategies to guide the agent's thinking, implementing architectural strategies to maintain a clean and well-documented codebase, and adopting iteration strategies that prioritize blameless culture and trust in the agent's outputs. These strategies enabled his team to quickly add 11 new agents, four new skills, and the concept of eval-agent workflows, resulting in significant code changes.