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Keep Calm and Adapt AI

https://quillette.com/2026/02/16/keep-calm-and-adapt-ai-matt-shumer-automation/
1•croh•2m ago•0 comments

Show HN: Tuber – YouTube client for productive watching

https://tuber.guzus.xyz
1•uncanny_guzus•2m ago•0 comments

Hyperagent, Made by the Team at Airtable

https://www.hyperagent.com/
1•puppion•2m ago•0 comments

Blocking XMPP Spam

https://cweiske.de/tagebuch/xmpp-spam.htm
1•speckx•3m ago•0 comments

Who fixes the zero-days AI finds in abandoned software?

https://martinalderson.com/posts/anthropic-found-500-zero-days/
1•martinald•5m ago•0 comments

Show HN: Rclone UI

https://github.com/rclone-ui/rclone-ui
1•ftchd•6m ago•0 comments

Agent harness for Postgres to ClickHouse migration

https://clickhouse.com/blog/ai-powered-migraiton-from-postgres-to-clickhouse-with-fiveonefour
1•craneca0•8m ago•0 comments

Ex-Google engineer charged for stealing trade secret related to Tensor processor

https://timesofindia.indiatimes.com/technology/tech-news/ex-google-engineer-along-with-her-husban...
3•newusertoday•8m ago•0 comments

Show HN: Personalized Newsletters

https://news.chadnauseam.com/
1•ChadNauseam•8m ago•0 comments

We built an anonymous social network specifically for workplace organizing

https://old.reddit.com/r/labor/comments/1r9kcb1/we_built_an_anonymous_social_network_specifically/
2•robtherobber•8m ago•0 comments

iOS Port of Pocket TTS from Kyutai Labs

https://github.com/UnaMentis/pocket-tts-ios
1•unamentis•9m ago•0 comments

Yamaha DX7 reverse-engineering, part III: Inside the log-sine ROM (2021)

https://www.righto.com/2021/12/yamaha-dx7-reverse-engineering-part-iii.html
2•tosh•10m ago•0 comments

Freeform raises $67M Series B to scale up laser AI manufacturing

https://freeform.co/newsroom/update/delivering-on-the-promise-of-scale
1•antlax•11m ago•0 comments

Jolla Phone update – lights on, technical bits and the schedule

https://forum.sailfishos.org/t/jolla-phone-update-lights-on-technical-bits-and-the-schedule/27821
1•mrbn100ful•12m ago•0 comments

Show HN: Turn Figma Design into Detailed User Story

https://www.figma.com/community/plugin/1596740872864756358/figma-to-story
1•bagusfarisa•14m ago•0 comments

PDF Hell: Why is extracting data still a nightmare?

https://unstract.com/blog/pdf-hell-and-practical-rag-applications/
3•naren87•14m ago•0 comments

One Terabyte of Kilobyte Age, Digging Through the Geocities Torrent

https://blog.geocities.institute/
3•senotrusov•14m ago•1 comments

Ask HN: Who Should I Talk To?

2•3pt14159•15m ago•1 comments

Acpx: A CLI for the Agent Client Protocol (ACP)

https://github.com/janitrai/acpx
1•hosolmaz•16m ago•0 comments

Brat, a parallel TAP testing harness for the POSIX shell

https://codeberg.org/sstephenson/brat
2•todsacerdoti•16m ago•0 comments

romforth: Ultra Portable, Small, Baremetal Forth for Various Processors

https://github.com/romforth/romforth
1•tosh•17m ago•0 comments

SealSkin – Self Hosted VDI and Collaboration

https://sealskin.app/
1•thelamer•17m ago•0 comments

The November 2025 AI Coding Surprise, Model by Model

https://www.goodeyelabs.com/insights/november-2025-ai-coding-surprise
1•rhiever•17m ago•1 comments

LLM Compare – side-by-side benchmark viewer for 250 models (static, no back end)

https://broskees.github.io/llm-compare/
3•broskees•19m ago•3 comments

Step-by-Step Math Problem Solver

https://www.quickmath.com/
1•pablowegw•19m ago•0 comments

Ask HN: Anyone else exhausted by too rapid development of news?

3•notsimonw•20m ago•3 comments

Show HN: Trained an LLM to predict "What will Trump do?"

https://huggingface.co/LightningRodLabs/Trump-Forecaster
8•bturtel•22m ago•0 comments

AI Authorship Scale

https://depue.net/writings/depue-ai-authorship-scale/
2•chadd•22m ago•0 comments

GNU/Linux Open Hardware PowerPC Notebook

https://www.powerpc-notebook.org/2026/01/schematics-reviewed-and-published/
2•ibobev•22m ago•0 comments

Tesla to pay $243M judgement over Autopilot crash

https://electrek.co/2026/02/20/tesla-has-to-pay-historical-243-million-judgement-over-autopilot-c...
4•jeffbee•22m ago•0 comments
Open in hackernews

CircleCI study: code throughput up, delivery down, reliability slipping

https://circleci.com/blog/five-takeaways-2026-software-delivery-report/
2•louiereederson•1h ago

Comments

louiereederson•1h ago
Seems like code production is up but mainly in feature branches. Main branch changes are down. MTTR deteriorating. This is for all but the highest performing (top 5%ile) teams.

This has to be driven by AI adoption. I'm trying to keep an open mind, but I can see how this is productive. Maybe the optimistic take is the top 5% are showing the way and the remainder will follow? That seems a bit too optimistic though, because the bottom 95% are probably burdened by technical/organizational debt that limits their ability to adapt quickly enough.