Full-text search across 61817 articles. Combine with topic and date filters; results sorted by relevance.
Gil Zilberfeld, a developer and tester, warns that AI-generated code introduces a new form of technical debt, which he calls 'AI code debt.' He argues that this debt is larger and more dangerous than traditional technica…
Montana State University professor and htmx creator Carson Gross proposes that teams practicing agentic coding check Markdown prompts, specs and plans into a new `/src/md` directory alongside generated code, arguing that…
Anthropic's Director of Engineering for Claude Code and Claude Cowork, Fiona Fung, described how her team restructured engineering processes after adopting agentic coding as the default workflow. The shift eliminated tra…
A field note analyzing Michels et al.'s preprint "Vibe Coding: Practice, Performance, Productivity, and Risk" argues that AI code review effort should be allocated by code age and coupling rather than diff size, since AI…
Developer amazingang released 'old-coder', a markdown skill that makes coding agents prove their work by running code through a gauntlet of checks and producing a test plan (SPEC) before coding and an evidence report (EV…
A developer survey of AI-assisted software development workflows finds that tools such as GitHub Copilot, Cursor, Claude Code, and Gemini Code Assist are moving beyond code generation into debugging, testing, documentati…
GPT-5.5 produces fewer bugs per lines changed than any other AI coding model, according to data from cubic's code review platform. Despite this, Claude Code remains the most popular coding agent, used by 80% of developer…
Senior engineers are refusing to ship AI-generated code because they claim they cannot be responsible for code they do not understand, but decades of abstraction layers — from assembly to garbage collection — prove they …
Benchling deployed Amazon Bedrock AgentCore Code Interpreter in Amazon Virtual Private Cloud mode to run AI agent-generated scientific code across thousands of life sciences tenants, an architecture that now processes mo…
As of 16 October 2026, seven open-source context compression tools sit between a coding agent and the model to cut what it reads, including two compressors (Headroom and RTK), two code indexes (Engram and cocoindex-code)…
Nimbalyst released nimbalyst-wiki, a plugin for Claude Code and Codex that turns coding-agent sessions into a local markdown wiki stored in the user's repository, with each decision recorded on the page it affects. The p…
The bottleneck in AI-assisted engineering is spec review and definition, not code review, according to engineer Jelmer Snoeck, who argues that code generation has become cheap while review remains expensive. Snoeck's cod…
A developer known as Yamada attempted to test whether AI can genuinely understand legacy code by having Claude Code and Codex recreate a 2008-era VB.NET business application, complete with the specific coding habits and …
A new proposal called "Request for Vibes" (RFV-0001) seeks to formalize a review process for software created through "vibe coding," where developers accept AI-generated code without fully understanding it. The draft sta…
A senior engineer argues that adopting strongly typed programming languages can solve problems created by AI coding assistants, including unmanageable code review volume, unmaintainable generated code, and stalled team-l…
ClickHouse and Hud announced an integration combining ClickStack's service-level observability with Hud's function-level runtime code sensor to help engineering teams safely ship AI-generated code, which now accounts for…
A developer built the workflows-of-ai.com website in under 10 hours using a team of AI agents to configure Drupal modules, with only 2,380 of the site's 1,647,655 lines of PHP — 0.14% — written as custom code. The remain…
A software engineer argues that the divide in AI adoption among developers stems from whether they favor 'plotting' (top-down design before coding) or 'pantsing' (bottom-up coding to understand the problem). The author s…
Montana State University computer science professor Carson Gross argues that universities remain relevant in the AI era by refocusing computer science curricula on practical, code-heavy assignments. Gross contends that d…
A software team lead argues that classic pull-request code review breaks down when AI agents generate most of the code, and describes replacing it with a "pair planning and pair validation" model in which two engineers p…