AI-assisted development
AssessTechniques
A workflow where developers use AI tools to collaborate on coding and problem-solving tasks.
Why it's here
Placed in Assess: 3 article(s) of evidence from 2 source(s), led by research-stage coverage, with 3 in the last 30 days. Confidence 42%.
Evidence (3)
- 6InfoQ·7/30/2026researchDORA 2025 Research on AI in Software Development
DORA’s 2025 research argues that AI is best viewed as an amplifier, with the biggest benefits coming from improving the surrounding organizational system. The report introduces team profiles and success capabilities that software teams can use to translate the research into practice.
- 4InfoQ·7/29/2026framework_updateRethinking LeetCode Interviews for Senior Hiring
Daniel Doubrovkine argues that traditional LeetCode-style whiteboard interviews are a poor measure of senior engineering talent. He proposes evaluating candidates through judgment, system design, and practical collaboration with AI instead of relying on basic algorithm tests.
- 6The New Stack·7/23/2026researchHow regulated organizations can safely speed up AI coding
The article argues that regulated organizations can use AI to increase software delivery speed, but only if verification becomes a continuous part of the engineering process. It highlights how AI-assisted development and agentic workflows can help domain experts and engineers collaborate more effectively while maintaining accountability, security, and compliance.