rakyll: There's a Huge Spectrum Between Full Auto-Generative Builders and Coding-Agent Users
rakyll · x · 2026-08-25
Jaana Dogan observes a wide spectrum in the auto-generative landscape: people heavily building fully auto-generative systems (code, config, deployment) versus developers just fitting coding agents into existing workflows. She sits with the research-adjacent first group and admits many of its wild experiments won't translate to everyday use cases yet.
More from coding & agent
- Stock MCP Server: Real-time market data for A-shares, HK, and US stocks — modelcontextprotocol · 2026-08-25
- Releases: An agent-friendly API for product changelogs — modelcontextprotocol · 2026-08-25
- sPTC: Speculative Tool Calling Overlaps Execution With Token Generation — CShorten30 · 2026-08-25
- Spotify Engineering Blog: LLM Evals, Agentic Development, and Data Architecture — techNmak · 2026-08-25
- NVIDIA and Anthropic Engineering Blogs: Key Resources on CUDA and Agent Architecture — techNmak · 2026-08-25
- Coding isn't over, but focus shifts to intent and orchestration — addyosmani · 2026-08-25