As code gets abundant, software engineering’s scarce resource becomes trust
dawnsongtweets · x · 2026-07-28
The post says the deepest shift is economic: software becomes abundant while trust becomes scarce. It identifies specification synthesis, long-horizon evaluation, trustworthy verification, provenance, security and governance as the main research problems, arguing that preserving human intent becomes the central challenge once coding is no longer the bottleneck.
More from coding & agent
- Dev builds MCP layer so Claude Code can work on servers without ever holding SSH keys — NETMESAFE · 2026-10-16
- 'Refusing to code with AI in 2026 is like refusing Google in 2005' — prasenx · 2026-10-16
- Claude Code adds idle compaction to save 1h prompt cache on idle sessions — EricBuess · 2026-10-16
- Handling agents that crash mid-task: the hard part is the unknown outcome across the network — Responsible-Dare5139 · 2026-10-16
- OpenAI DevDay Community Hackathon heads to Berlin with developer, founder and GTM tracks — paw_lean · 2026-10-16
- Data scientist career path is shifting: ML skills no longer enough, AI engineering is the new bar — mdancho84 · 2026-10-16