.NET Rocks! The Role of AI in Software Development
Dec 18, 2025
Jeff Fritz, a Principal Program Manager at Microsoft, and Bill Wolf, a community leader and enterprise architect, dive into the transformative role of AI in software development. They tackle listener concerns about AI costs and transparency, discussing the challenges of integrating AI tools like Copilot in workflows. The duo emphasizes the importance of creating clear prompts and standards for AI code generation. Bill also highlights AI's applications in specialized fields like construction, while they all predict a post-bubble landscape with local models and improved reliability.
AI Snips
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Transcript
Episode notes
Control AI Costs Proactively
- Monitor and control AI billing proactively by choosing appropriate models and setting explicit usage limits.
- Use model multipliers and Visual Studio/VS Code usage gauges to avoid surprise charges.
Cage The Model With Strong Prompts
- Constrain models with strong system prompts and persona templates to prevent unwanted actions.
- Load proven prompts (like Copilot Awesome) and choose smaller models for trivial tasks to reduce burn.
Match Model To Task
- Pick the right model for the task: use lightweight models for summarization and heavy models for one-shot complex code.
- Switch models deliberately and use 'fetch' to have Copilot analyze pricing or docs for guidance.