A developer's analysis of 155 engineering studies and hiring data argues that AI code generators have made conventional portfolio projects like todo apps and e-commerce clones worthless as proof of en…
An analysis of AI industry bottlenecks cites GitClear research finding that duplicate code blocks rose roughly 8x since AI-assisted coding went mainstream across 211 million lines of changed code, whi…
A 2025 METR study of 16 experienced developers completing 246 real tasks on codebases exceeding a million lines found that developers using AI tools were 19% slower, despite predicting a 24% speedup b…
A developer built CXCAP, an open-source, local, read-only CLI that audits a repository's structural complexity before a coding agent makes a change, aiming to catch coupling and transitive exposure th…
A growing share of pull request code is now AI-generated, and it fails differently from human-written code — confidently, syntactically clean, and often plausible-looking even when wrong. GitClear's a…
A 2026 Halkwinds survey of 758 engineering organizations found 76% had rolled out at least one AI coding assistant organization-wide, up from 41% in 2024, but only 34% could point to a measurable, aud…
An analysis of 623 million real-world code changes from 2023 to 2026 by GitClear and GitKraken found code duplication rose 81% while code reuse fell 70% and error masking climbed 47%, producing code t…
Nearly 90 percent of vertical, function-specific AI use cases remain stuck in pilot mode, and more than 80 percent of companies report no material contribution to earnings from their gen AI initiative…
A developer argues that AI-generated code has shifted the bottleneck from writing to reviewing, citing data showing increased pull request volumes and review times, plus higher bug rates. Studies and …
Google Cloud's DORA research, based on nearly 5,000 technology professionals, found that 90% now use AI at work, spending a median of two hours a day with it, but AI adoption also increases instabilit…
A new analysis warns that automation bias in AI-generated code review is causing engineers to approve flawed code, with 66% of developers citing 'almost right' AI code as their top frustration. GitCle…
AI coding tools are shifting software engineering from writing code to verifying and integrating it, according to an analysis of AI-assisted development. By early 2026, leading systems were resolving …
GitClear's analysis of 623 million code changes from 2023 through 2026 shows AI-era tech debt is measurable: refactoring dropped from 21% of changed lines in 2022 to 3.8%, while copy/pasted code rose …
INT21's agent swarms have built inference stacks for video, music, and speech generation, now live as free demos without an API key. The stacks require no human review and outperform state-of-the-art …
Joseph Heck's essay 'Software engineering fundamentals matter more than ever' argues that classic engineering disciplines have become the operating controls for AI coding agents, a claim backed by DOR…
A developer argues that AI-assisted coding is stunting junior engineers' debugging skills, citing an Anthropic study showing AI users scored 50% on comprehension quizzes versus 67% for hand-coders, an…
A developer spent a year optimizing the wrong bottleneck in AI-assisted software development, finding that removing humans from the pipeline shifted the bottleneck to code review and integration. Tele…
According to the DORA 2025 report, AI adoption amplifies existing engineering strengths and weaknesses, with stability declining for all teams as throughput rises. Developers using AI daily produce ro…
A developer argues that legacy code will not disappear despite AI coding tools, citing a 74% drop in legacy refactoring since 2023 per GitClear research and a DORA report finding that every 25% increa…
A software engineer argues that the widespread adoption of AI coding tools will create a crisis of unmanageable technical debt, leading to a severe shortage of senior developers. The plan, described a…