Fordel StudiosAgent-driven development in Copilot Applied Science
What Happened
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 first on The GitHub Blog.
Our Take
using coding agents to automate parts of the job? yeah, I've seen this noise a thousand times. it's useful for tedious boilerplate work, but don't let the hype fool you into thinking they'll replace actual senior engineering time. they're better interns than senior devs right now.
the real value isn't the automation itself, it's how much time they save on context switching and routine refactoring. when you automate documentation generation or simple bug fixes, you free up mental bandwidth for the hard architectural decisions. we're just automating the grunt work, not the genius.
the learning curve on writing effective agent prompts is steep and requires deep domain knowledge. if you don't know exactly what you want, the agent just spits out mediocre, contextually irrelevant code. it's a force multiplier for good prompt engineering, nothing more.
actionable: Use agents strictly for generating and refactoring low-stakes code blocks, not for full-stack architectural planning.
impact:medium
What To Do
Check back for our analysis.
Builder's Brief
What Skeptics Say
First-person agent productivity narratives are selection bias — the author already had deep domain knowledge to catch model errors, which is precisely the capability most teams lack. Generalizing from one Microsoft researcher's workflow to enterprise adoption skips the hard part.
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