~/talk

You can write code faster. Can you deliver it faster?

on YouTube 26m
Talkat DPE Summit 2025 · 2025-09-23..09-24· [ai-assisted-development, developer-experience]

speaker

name:Hans Dockter
links:none on file

resources

video:https://youtu.be/VOXNJ9_sHuM
slides:none on file

summary

Generative AI increases code volume and more mispredictions are inevitable so delivery degrades unless pipelines change. DORA data shows 1.5% delivery drop and 7% stability drop per 25% AI adoption. Required fixes are measurable: predictive test orchestration, smarter failure grouping and faster root cause in local dev, universal caching and intelligent parallelization, and policy automation to avoid large high‑risk batches. Gradle BuildScan and improved observability shift left to stop incorrect or insecure code before CI.

AI-written summary · about

chapters (6)

  1. 0:00AI impact on software delivery throughput
  2. 2:10Biology and cancer research systems analogy
  3. 6:23Treating LLM hallucinations as system mispredictions
  4. 12:12Software engineering forces and continuous delivery
  5. 16:19Continuous delivery strategies for AI-generated code
  6. 23:43Summary: managing AI hallucinations with engineering practices

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