DevOps
AssessTechniques
A software delivery and operations approach that emphasizes collaboration, automation, and continuous feedback.
Why it's here
Placed in Assess: 2 article(s) of evidence from 1 source(s), led by framework updates, with 2 in the last 30 days. Confidence 31%.
Evidence (2)
- 5The New Stack·7/31/2026framework_updateThoughtworks Engineer Says AI Software Needs Human Oversight On the Loop
Thoughtworks distinguished engineer Kief Morris argues that teams using AI to build software need humans “on the loop” to define what counts as good code and good systems. He says production-ready CI/CD, tests, and guardrails must be built into agentic workflows now to keep software safe, secure, and maintainable. The article frames continuous delivery practices as the way to control AI agents rather than relying on post-hoc fixes.
- 5The New Stack·7/25/2026framework_updateBuild AI Context Systems Instead of Fixing Code
The article argues that software teams should stop trying to correct AI-generated code line by line and instead improve the surrounding system, context, and workflows. It frames this as a broader shift from deterministic software development toward context engineering, where organizations package and scale the information agents need to work effectively.