5th February 2026 - Link Blog
Mitchell Hashimoto: My AI Adoption Journey (via) Some really good and unconventional tips in here for getting to a place with coding agents where they demonstrably improve your workflow and productivity. I particularly liked:
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Reproduce your own work - when learning to use coding agents Mitchell went through a period of doing the work manually, then recreating the same solution using agents as an exercise:
I literally did the work twice. I'd do the work manually, and then I'd fight an agent to produce identical results in terms of quality and function (without it being able to see my manual solution, of course).
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End-of-day agents - letting agents step in when your energy runs out:
To try to find some efficiency, I next started up a new pattern: block out the last 30 minutes of every day to kick off one or more agents. My hypothesis was that perhaps I could gain some efficiency if the agent can make some positive progress in the times I can't work anyways.
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Outsource the Slam Dunks - once you know an agent can likely handle a task, have it do that task while you work on something more interesting yourself.
Recent articles
- GPT-5.4 mini and GPT-5.4 nano, which can describe 76,000 photos for $52 - 17th March 2026
- My fireside chat about agentic engineering at the Pragmatic Summit - 14th March 2026
- Perhaps not Boring Technology after all - 9th March 2026