Tech Council
Are you a tech leader, architect, or engineer navigating the intricacies of building within the enterprise? Tech Council delivers the strategies and insights you need to succeed. Hosted by Duncan Mapes and Jason Ehmke, experienced leaders from the startup and banking tech arenas, this podcast dives deep into technology strategy and enterprise dynamics. Learn how to drive innovation, understand the bigger picture, and build impactful solutions from the ground up. Subscribe to Tech Council and gain the knowledge to shape the future of your enterprise, no matter your role.
Tech Council
How AI Is Changing Software Engineering | Episode 05
AI has moved from hype to habit, but at what cost?
In this episode of Tech Council, Duncan Mapes and Jason Ehmke break down the ethical, technical, and human implications of AI in software development. From workflow automation to code generation and performance tracking, AI is changing the landscape—but not always in the ways you’d expect.
The conversation explores the hidden pressures AI introduces: the erosion of organic team communication, the complexity of evaluating performance fairly, and the risk of turning development into a surveillance-heavy space. Through it all, Duncan and Jason emphasize the need for thoughtful leadership that balances innovation with intention.
Tune in and get a fresh, honest look at how to lead tech teams through the AI revolution.
Top Takeaways:
- AI ethics is a complex and evolving topic.
- The integration of AI tools can streamline workflows.
- Different AI models have varying levels of effectiveness.
- Cognitive load in code reviews can be significantly reduced with AI.
- AI can change the dynamics of communication in teams.
- Surveillance capabilities in development environments raise ethical concerns.
- The debate on task execution is shifting towards action-oriented approaches.
- AI tools can help clarify and optimize developer tasks.
- The role of software engineers is evolving with AI advancements.
- AI's impact on the industry is largely positive, despite short-term challenges. Developer efficiency can be indicated by various metrics.
- The origin of DevGrid is rooted in optimizing data and processes.
- Sales outcomes are easier to measure than engineering outcomes.
- Incentives play a crucial role in performance evaluation.
- Surveillance tools can help identify blind spots for developers.
- Critical feedback is essential for growth in any profession.
- Management tools should empower rather than alienate developers.
- AI agents are transforming the coding landscape.
- Leadership requires continuous learning and adaptation.
- Maintaining a balance between oversight and trust is vital.
Connect with us:
