OpenAI’s rewritingCodexinRust, ditching the oldTypeScriptversion. Why? To ship it as a single static binary—no messy installs, no glue code juggling. Just run. Rust cuts down runtime failures, trims the attack surface, and kills off toolchain sprawl. Less fragility. More control. System shift:Team..

RudderStack crankedPostgreSQLup to100K events/secas a queuing engine. The secret sauce: tight tuning of job partitioning, smarter indexing, tuned VACUUM timing, and compaction that didn't choke. Recursive CTEs stood in for loose index scans. Caching cut I/O repeats. They ditched byte slices to side..

Claude Code zips out Ruby functions, tests, and pull requests viaCLIprompts across multiplegit worktrees. It slays manual typing and ejects IDE plugins. It spins up ephemeraltest environmentsto replay bugs, pries open externalgemcode, and syncs branches, commits, and PRs in one go...

Most Americans now see AI as a threat to their livelihoods, with71% fearing it could permanently wipe out jobs. The findings come from a new Reuters/Ipsos poll, which shows widespread anxiety across the US as AI threatens job security and challenges the future of employment. The World Economic Forum..

MCP’s blowing up across platforms—but the security? Still sketchy. Think tool description injection. Botched OAuth. Open doors to supply chain attacks. The new MCP 2025-06-18 spec tries to clean house (no token passthrough, mandatory user consent), but most real-world setups either drag their feet ..

A new demo walks through buildingTiny Agents in Python—just ~70 lines using theModel Context Protocol (MCP). No boilerplate. Just clean LLM-to-tool hookups with standardized agent configs. Agents plug into multiple MCP servers out of the box—from local filesystems to Playwright browsers—and handle ..

OpenAI walked back its latest release after users flaggedGPT-5for sounding flat, hallucinating more, and losing creative spark. The fix? Rolling back to the friendlierGPT-4o. Head-to-head tests told a nuanced story:GPT-5nailed accuracy and structure across most prompts. But when the task called for..

Modern AI broke the rulebook. By spitting outstochastic outputs from unbounded inputs, it flipped software dev from a game of precision to one of probability. Old tools—funnels, SLO dashboards, crisp A/B tests—don’t quite fit anymore. They were built for systems that behaved. Today’s AI stacks mov..

Failures make great teachers—especially for LLMs. Stuffing failed attempts right into the prompt helps agents recalibrate. It nudges their internal priors, cuts down on repeat mistakes, and sparks smarter behavior...

Generative AI tools likeGPT-4oandClaude Sonnetnow handle the grunt work—fixing bugs, cranking out code, writing docs—with scary accuracy. Amazon and Anthropic are already hinting at hiring fewer engineers. But the jobs aren’t vanishing; they’re mutating...