Research-Driven Engineering Leadership
Using research to answer big questions in AI and engineering productivity
- Indexed issues, last 90 days
- 11
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- Sep 29, 2026
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- Jul 21, 2026
Latest issues
RDEL #163: How do AI coding assistants change the shape of engineering work over time? (opens the original)
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Welcome back to Research-Driven Engineering Leadership. Each week, we pose an interesting topic in engineering leadership and apply the latest research in the field to drive to an answer.Once AI becomes part of how an engineering team works, leaders can usually say whether the team feels faster. How engineers now divide their day, and how that work feels to do, is much harder to see. This week we ask: How do AI coding assistants change the shape of engineering work over time?Thanks for reading
RDEL #162: What makes a great co-worker in an AI-native workplace? (opens the original)
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Welcome back to Research-Driven Engineering Leadership. Each week, we pose an interesting topic in engineering leadership and apply the latest research in the field to drive to an answer.Decades of research on trust, teamwork, and psychological safety describe what makes a good colleague, and that work assumed the colleague was a person. Researchers have started testing whether the same qualities carry over when an AI does part of the work, and where they stop applying. This week we ask: what ma
RDEL #161: What decides which tasks product managers are willing to delegate to GenAI? (opens the original)
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Welcome back to Research-Driven Engineering Leadership. Each week, we pose an interesting topic in engineering leadership and apply the latest research in the field to drive to an answer.Some product managers now contribute working prototypes instead of a wireframe, or a SQL query instead of a data request. As their task boundaries change with AI, this week we ask: what decides which tasks product managers are willing to delegate to GenAI?Thanks for reading Research-Driven Eng
RDEL #160: What psychological costs does AI adoption create for engineers? (opens the original)
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Welcome back to Research-Driven Engineering Leadership. Each week, we pose an interesting topic in engineering leadership and apply the latest research in the field to drive to an answer.AI rollouts usually report insights like share of engineers using the tools, token usage, and teams climbing a maturity ladder. What those numbers leave out is what the rollout asks of the engineers inside it, particularly the ones who spent their careers learning to write the code an agent now drafts. This week
RDEL #159: How does developer experience shape the way teams use coding agents? (opens the original)
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Welcome back to Research-Driven Engineering Leadership. Each week, we pose an interesting topic in engineering leadership and apply the latest research in the field to drive to an answer.More and more, engineers are handing off specific tasks to an agent. But a maintainer four years into a codebase and a contributor three months in are making very different bets on how and when to delegate, and checking very different things when the PR comes back. This week we ask: how does developer experience
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