software testing
AssessTechniques
Validation practices used to detect defects and check expected behavior.
Why it's here
Placed in Assess: 3 article(s) of evidence from 3 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 53%.
Evidence (3)
- 4Hacker News·6/29/2026researchQuestioning what software can truly guarantee
This ACM Queue article argues that software should be evaluated by the guarantees it can actually provide, rather than by broad assumptions or marketing claims. It discusses how correctness, reliability, and safety depend on explicit specifications, testing, and system boundaries.
- 6InfoQ·6/29/2026researchGitLab Study Finds AI Speeds Coding but Not End-to-End Delivery
GitLab's 2026 AI Accountability Report says 78% of developers report coding faster with AI tools, but overall software delivery has not accelerated. The report points to downstream bottlenecks in testing and review, along with new enterprise concerns around governance and traceability.
- 6Martin Fowler·4/29/2026framework_updateAI Coding Shifts Toward Harness Engineering and Verification
Martin Fowler highlights updated guidance from Chris Parsons and related work on harness engineering, emphasizing small changes, strong guardrails, and automated verification before code is shipped. The discussion also points to tools and techniques such as Claude Code, Codex CLI, static analysis, and tests as central to agentic software development.