← All IntelClip / AI AgentsMake the harness self-improving by mining its own bottlenecks
From Automating the Developer Loop with Coding Agents · ≈9:35
A practical recursive-improvement routine: run the loop for a couple of days, have the agent enumerate its own friction points, and remove one a day until a one-sentence prompt drives the whole fix-and-ship pipeline.
What’s in it
- A practical recursive-improvement routine: run the loop for a couple of days, have the agent enumerate its own friction points, and remove one a day until a one-sentence prompt drives the whole fix-and-ship pipeline.
Clip transcript
this recursive self-improvement in your internal developer developer harnesses? So, all your production failures become input. So, let's say you automate keep automating these cell developer harnesses every day and you ask the agent to upgrade itself essentially. So, you do a task. You let the loop run. Let's say one or two days. You solve five to six bug tickets. And you just tell the agent to analyze all the bottlenecks in this process. Make a list of them. And somehow slowly keep removing these bottlenecks every day. At the end of one month, let's say, you have a really nice self-automated loop where you just type in one sentence and just say fix this bug for me. And the agent goes off, connects to all your database systems, fetches all the logs, traces, tickets, and ships it and migrates it migrates it to the Jira to QA pipeline. And you can just book a vacation maybe or work from home.
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