Full-text search across 58633 articles. Combine with topic and date filters; results sorted by relevance.
A three-engineer shop called Slopfix is charging $10,000 per week to shrink AI-generated codebases, committing to a reduction target and billing proportionally. The service signals that technical debt from AI code genera…
Rigorix, a new open-source coding agent runtime, compiles natural-language development tasks into deterministic Directed Acyclic Graphs (DAGs) before execution, separating planning from execution to enable repeatable, au…
A developer detailed how they configured Claude Code with 26 production subagents, a CLAUDE.md contract, MCP servers, and hooks to transform the AI from a forgetful junior into a reliable senior team. The setup uses focu…
PostHog engineer rewrote the company's SQL parser using AI agents, achieving a 70x speedup with 16K lines of hand-rolled parser code. The new parser replaces an ANTLR-generated parser and is equivalent for all realistic …
GitHits launched a new code navigation skill that enables AI agents to search, list, read, and grep across codebases, providing source-grounded answers instead of relying on memory. The skill, installable via npx githits…
The article announces that Newegg is offering various promotional deals in May 2026, including a WIRED-exclusive 3% off promo code for gaming notebooks that is stackable with other offers. It highlights the retailer's Me…
To integrate Anthropic's Claude Code monitoring with Bronto using OpenTelemetry (OTel) to gain a unified view of AI tool usage. The author details two methods: sending logs directly to Bronto via environment variables, o…
After 1,000 hours of using AI coding agents across various projects, the author found that success depends not on the specific AI model or tool, but on how work is structured before being handed off. The key insight is t…
Based on a 2026 survey of developers, the article ranks AI coding assistants, with GitHub Copilot remaining the most widely adopted due to its improved multi-file awareness, while Cursor is highlighted as the top choice …
In the late 1940s, engineers at the University of Manchester, including Frederic C. Williams, Tom Kilburn, and G. E. Thomas, developed Manchester code to solve the problem of unreliable data reading caused by timing drif…
A developer's 14 headless test runs of Claude Code 2.1.289 found that a hook matcher of `mcp__lab` fired 0 times across 42 calls to that MCP server's tools, while `mcp__lab__.*` fired 42 of 42, even though the same bare …
A researcher tested four coding agents — Gemini 3.8 Flash, GPT Astra 6, Opus 5 and Fable 5 — each given a $100 budget to autonomously build an open-source PDF editor, and found bugs within a few clicks in almost all of t…
A developer has published an architecture for "Human-in-the-Loop (HITL) Gates," a sidecar service that intercepts actions between autonomous AI coding agents and execution environments such as CI/CD runners, Terraform an…
A developer built a bridge that lets Claude Code delegate tasks to xAI's Grok Bot desktop app despite there being no public API, using only the one documented entry point: a routine's Webhook trigger. The 670-line depend…
A developer who built a multi-agent sales-lead automation pipeline reports that AI-generated code fails in production not from syntax or logic errors but from three recurring categories of hidden assumptions: state assum…
Munetic released DockTerm, a free, open-source (MIT) terminal-first workspace for Anthropic's Claude Code that keeps the user's real `claude` session and adds checkpoints, live subagent activity, diff review, safe Git st…
A developer measured how Claude Code 2.1.278 handles the model and effort keys in subagent YAML frontmatter, running seven claude -p invocations against three custom agents (bulk-reader, deep-reviewer, preflight-reviewer…
Claude 3.5 Sonnet outperforms GPT-4o on complex coding tasks because it handles large context windows with less forgetfulness and produces more concise boilerplate, according to a three-week February comparison by the ar…
Cognition released SWE-2, a coding model scoring 50% on FrontierCode 1.1 Main — within one point of Fable 5.1 — at 64% lower cost, built on a 2.8-trillion-parameter Kimi K3 base with RL post-training. Separately, the Rub…
AI-generated code fails primarily because large language models predict the most likely next token rather than simulating a compiler, producing hallucinated library methods, outdated API versions, and logic that misses e…