Steve Yegge, Sourcegraph, ETLS Vegas (25)

on YouTube ↗02m

" summary

Companies cluster at extremes: some already run 5 to 10 year GenAI programs while others have postponed evaluation and risk obsolescence. Adoption path is concrete — align engineering teams, deploy coding assistants now, and prepare for chat GPT 40 and follow‑on foundation models like Gemini 1.5 that make chat‑oriented programming practical. Expect self hosting to solve legal/security concerns, roll out retrieval augmented generation (RAG) for searchable context, and use batch AI for code generation, reviews, and audits.

AI-written summary · about

" related talks

• 48mMastering the AI Shift: Adaptive Strategies for Software EvolutionPratik Patel, Brian Vermeer, Olimpiu Pop, Gabriel Păunescu, Valentin Tomici, Mihaela Cuțui · Voxxed Days Bucharest 2024
• 46mPanel Discussion: AI's Impact on DevelopersEmily Freeman, James Q Quick · All Things Open 2023
• 44mFuture-Proof Your...Jay Sarwate, Alok Tongaonkar, Prutha Parikh, Ketan Nilangekar · BSidesSF 2025
• 47mHow To Build a GenAI-Augmented Software OrganizationKris Jenkins, Marko Klemetti · GOTO Copenhagen 2025
• 22mLearning to Apply Generative AI at Enterprise LevelSebastian Arnold · Berlin Buzzwords 2024
• 34mOrganized chaos adopting GenAI at EnterpriseDenis Chichmaryov · Build Stuff 2025
• 40mBuilding the Future Developer: Trends in Open Source, Education...Phoebe Quincy, Kim Schlesinger · Open Source Summit North America 2025
• 40mThe Developer RenAIssance: The Humans Powering the Age of AIKate Smith · DevFest Nantes 2025