How To Ship Real Code With AI (Not Junk) ft. David Cramer

Everyone is selling 100x developer productivity, but David Cramer runs production software at Sentry and says LLMs are not making his own work faster. We talk about what actually holds up when AI meets real codebases, security review, open source economics, and why verification beats generation.

Everyone is selling 100x developer productivity, but David Cramer runs production software at Sentry and says LLMs are not making his own work faster. We talk about what actually holds up when AI meets real codebases, security review, open source economics, and why verification beats generation.

Show notes, transcript, and links: https://www.wordman.dev/podcast/david-cramer-ship-real-production-code-with-ai/

Key Takeaways

• The 100x developer narrative breaks down once you optimize for quality, security, and maintainability instead of raw output.
• David built Warden inside Sentry and used it to find more than 100 previously unknown vulnerabilities in production code, including auth bypasses.
• Search and internal knowledge tools may be the highest-leverage LLM use case inside a company today, not autonomous code generation.
• MCP is useful when it gives agents structured access to real workflows, not when it is treated as a thin API wrapper.
• Open source sustainability and AI training economics are colliding, and the financial models behind many AI companies do not add up.

Chapters

• 00:00:00 Cold open
• 00:01:51 Budgeting the AI hype
• 00:07:00 No 100X developers
• 00:14:25 Where LLMs actually help
• 00:35:29 Vibe coding limits
• 00:48:26 Open core is not open source
• 01:12:29 Bubble and economics

Mentioned

• Sentry
• Warden
• Finding Vulnerabilities with Warden
• Skill Synthesis
• Agent Skills
• Open Source Pledge
• David Cramer on X