
Soft Skills Engineering Episode 502: Management keeps leaving and I hate using AI to code
Mar 2, 2026
Panels about sudden leadership exits and what might be happening in management meetings. A senior developer's struggle with using AI in day-to-day coding and the mixed feelings it creates. Discussion of how AI shifts work toward verification, architecture, and durable patterns. Practical suggestions about investigating departures and adapting to AI-driven workflows.
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Episode notes
Departures May Signal An Information Hazard
- Dave Smith calls this pattern an info hazard where learning certain internal realities can 'infect' your willingness to participate.
- The hosts suggest direct conversations with people who left because they can speak more freely than current managers.
Ask Former Managers Directly For Honest Answers
- Do ask the people who left or the recently demoted skip level because they are likeliest to share honest reasons for quitting.
- The hosts recommend direct, informal outreach rather than confronting current leadership publicly.
Ethics Or Background Issues Can Drive Quick Exits
- Jameson Dance and Dave Smith propose ethical or legal red flags could make people refuse management roles quickly.
- They speculate auditors or background checks might reveal issues prompting resignations or silent exits.
