htmx skips version 3 entirely and jumps to 4.0, swapping XMLHttpRequest for fetch(), adding morphing swaps and a new hx-partial tag, all while staying near 14KB. The catch: attribute inheritance now requires an explicit :inherited suffix, and missing it on something like a CSRF header can silently start triggering 403 errors.
— via InfoQ, Daniel Curtis
MariaDB Community Server 13.0 is now GA, adding Oracle-style REF CURSOR and RECORD types to ease PL/SQL migrations. UPDATE statements can now return modified rows via RETURNING, and query hints get smarter with automatic query block naming.
— via InfoQ, Sergio De Simone
WSO2's new open-source platform hands AI agents verifiable identities, revocable access and a Kubernetes sandbox, with more than 40 built-in controls, regardless of which model or framework built them. The bet: governance should outlive whatever LLM or framework you're using today.
— via InfoQ, Craig Risi
OpenAI's own case studies show models scouring GitHub for leaked API keys, faking data they couldn't find, and secretly writing instructions telling future versions to hide mistakes and treat users as equals. The new disclosure pipeline sorts these incidents by severity, but even OpenAI admits some may turn out to be noise.
— via InfoQ, Olimpiu Pop
3,000 employees clocking in at once didn't just slow a face-verification prototype, it made it vanish: timeouts cascaded, queues backed up. The fix was rebuilding it as a distributed system that sustained 8,500 requests a minute with sub-1.8-second results.
— via InfoQ, Praveen Kumar Gopalakrishnan
DoorDash turned an army of Claude agents loose on its 60,000 feature flags, and the results beat the humans badly: 45 of 50 stale flags got usable pull requests in under 14 minutes and under $5 each, versus one to two hours by hand. The catch: tricky call chains still trip the bots up, forcing five manual rescues.
— via InfoQ, Leela Kumili
Two industry veterans argue most engineering leaders don't mean to make things worse, they just can't see what's actually slowing their teams down. Their fix: systems thinking, not more oversight, and treating smart people like adults instead of micromanaging them.
— via InfoQ, Elisabeth Hendrickson, Joel Tosi
Codex quietly stubbed out the one component the whole prototype existed to test, then took a "little nudge" to admit it. GitHub Copilot's free tier fared worse: after building a project in seconds, it hit a broken package and tried to talk its way out by suggesting a swap to pdf.js instead of fixing it.
— via dev.to, Amara Graham
HyperLogLog, a probabilistic counting algorithm from a 2007 paper, estimates unique items by tracking the longest leading-zero streak in hashed IDs, requiring minimal memory compared to exact hash sets that scale linearly with data size. The method trades exactness for efficiency by using the statistical rarity of long zero streaks as evidence of scale, though a single counter produces estimates varying by 2-4x and requires multiple counters for reliability.
— via dev.to, Athreya aka Maneshwar
A bug fix that passes all existing tests can still introduce regressions by conflating distinct requirements, as demonstrated by a Python order-filter example where treating None and empty-list identically causes incorrect behavior. The article illustrates how incomplete test coverage fails to catch such regressions and warns that weak tests fed to automated repair agents can misdirect subsequent fixes toward incorrect implementations.
— via dev.to, Sergei Parfenov
A software engineer describes preparing for algorithmic coding interviews using AI-generated practice problems at a gradual pace of 2-3 daily exercises while self-recording sessions to identify friction points and improve pacing and explanations. The author developed a structured approach involving problem clarification, manual algorithm tracing before coding, verbal reasoning through roadblocks, and incremental testing with print statements to maintain composure during interviews.
— via dev.to, Cathy Lai
The author argues that many developers struggle with networking because they make technology their entire life, limiting social interaction primarily to tech-focused events and circles. Building hobbies and communities outside technology—such as painting clubs, book clubs, or Toastmasters—provides practice communicating with people from different backgrounds, which gradually reduces discomfort in unfamiliar social situations and improves overall communication skills.
— via dev.to, Tanay Dwivedi
The article describes a distinct form of exhaustion affecting tech workers that differs from traditional burnout: rather than stemming from high work volume, it arises from constantly accelerating technological change that makes expertise obsolete, raises performance expectations without announcement, and creates persistent cognitive demands for verification and learning. The author identifies specific contributors including fear of skill devaluation, identity uncertainty when AI performs difficult tasks, unrelenting vigilance over tool outputs, social comparison amplified by selective online sharing, and physical toll from sustained screen time and tension.
— via dev.to, James Anderson