Mitchell Hashimoto Shares Coding Agents Workflow
Mitchell Hashimoto outlines his AI adoption journey and practical techniques for integrating coding agents into software development workflows, describing exercises he used to validate agent reliability. He recommends reproducing work manually then having agents replicate results, reserving the last 30 minutes of each day to let agents make progress, and delegating routine 'slam dunk' tasks to agents to boost developer productivity.
Key Points
- 1Reproduce work: Do tasks manually then have agents replicate results to validate quality and reliability.
- 2End-of-day agents: Run agents during the last 30 minutes daily to maintain progress when you cannot work.
- 3Outsource slam dunks: Delegate predictable, routine tasks to agents so developers can focus on higher-value work.
Scoring Rationale
Actionable, practitioner-tested workflow tips increase utility and adoption potential; single-author anecdote limits generalizability and empirical validation.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
