About This Session
LLM-accelerated coding has dramatically increased the pace at which developers can fix bugs and write whole new features. But a lot of companies that have wholeheartedly embraced AI assistance for coding have discovered that with coding fast, new points in the software development lifecycle become the bottleneck. In particular, if people are writing code 2x, 5x or 10x faster, how do you review all that code? This talk explores the current landscape of solutions to this extremely timely problem, including changing job titles, building guardrails, writing far more detailed product specifications and tests, using yet more LLMs to review the PRs themselves, and a surprisingly frequently-cited alternative: just ship stuff slower.
Topics
- AI Coding Assistants
- Code Reviews
- Large Language Models (LLMs)
- Productivity
- Soft Skills