(No) Future of coding and scripting in AI era
summary
Shows concrete wins and limits: AI generates Terraform docs, environment‑variable tables, Mermaid diagrams and a normalized Postgres schema with working INSERTs from sample JSON, all using GitHub Copilot and cheap base models; OpenAI model outperforms 99.9% in Codeforest and research scores rise from 3% → 8% → 27% with OpenAI Deep Research. Demonstrates agent edits across Terraform and Python, Kubernetes actions and cloud CI draft PRs (they work iteratively), warns that agents need guardrails and human ownership.
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chapters (11)
- 0:00Introduction to AI coding
- 1:03Documentation with AI
- 8:44Text-based diagrams with Mermaid
- 9:05Semantic code search
- 12:19Data normalization with AI
- 15:03AI agents in IDE
- 18:15AI tools and MCP
- 21:07Cloud CI/CD agents
- 23:36Brainstorming with AI
- 25:47AI as a peer programmer
- 28:36Q&A session
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