Arize AI, co-authored by Duncan McKinnon and Jitendra Yadav, argues that AI productivity should be measured by connecting AI usage to validated downstream outcomes rather than activity metrics like to…
AI coding agents should optimize for less owned code to avoid technical debt, argues a new analysis, as the cost of code generation drops but ownership costs rise. Black Duck's 2026 report found that …
Code maintainability has plummeted in the AI coding era, with code duplication up 81% and code reuse down 70%, according to a GitClear and GitKraken study of 623 million code changes from 2023 to 2026…
GitClear's analysis of 211 million changed lines found cloned code blocks have roughly quadrupled since 2022 due to AI coding agents duplicating code. A deterministic guardrail tool called dupehound, …
AI can effectively run exploratory testing when prompts are well-framed, according to testing expert Cakehurst Ryan. The author argues that with proper heuristics and guidance, AI tools like Claude ca…
AI-generated code is creating a new form of technical debt called cognitive debt, where developers lose understanding of how and why code was written, according to a former hardware engineer. Google a…
Addy Osmani's analysis of AI code review reveals a crisis: 861% more code churn, defect rates up to 54%, and review duration up 441%. The data shows that generating code at 4x volume yields only 10% m…
GitClear's analysis of 211 million lines of code reveals that refactoring is declining while duplicated code is increasing, a pattern the project attributes to agentic tech debt. A developer created a…
A developer has warned that GitHub Copilot, with over 1.8 million paid subscribers by early 2024, is creating a generation of junior developers who can mass-produce code they cannot debug or understan…
A new open-source tool, find-dup-defs, identifies duplicated and near-duplicated Python code using structural AST analysis and a normalized "Thickness" score to rank refactoring urgency. The tool clai…