data-flow analysis
AssessTechniques
Analysis that tracks how data moves through a program.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 5The New Stack·7/30/2026researchLinting is not enough for agentic development
The article argues that AI agents increase development speed, but teams need broader verification than linting to ensure correctness, security, and reliability. It recommends combining local checks with control-flow and data-flow analysis, dependency and secret scanning, and workflow review to keep agent-generated code safe and maintainable.