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SheepCat – An open-source tracker for executive dysfunction

https://github.com/Chadders13/SheepCat-TrackingMyWork
1•chadders13•35s ago•0 comments

AI Critics Don't Use Claude Code

https://theredline.versionstory.com/p/dont-trust-people-who-dont-use-claude
1•jpbryan•35s ago•0 comments

Show HN: Fast and lightweight hash implementations (xdigest)

https://github.com/rinrab/xdigest
1•rinrab•39s ago•0 comments

EloPhanto – self-evolving AI agent

https://github.com/elophanto/EloPhanto
1•petrroyce•59s ago•1 comments

Brace for a crash before the golden age of AI (2025)

https://www.ft.com/content/a76f238d-5543-4c01-9419-52aaf352dc23
1•wslh•2m ago•0 comments

Claudity for the People

https://claudity.ai/
1•flavormingo•2m ago•1 comments

Creative Destruction Meets Financial Instability: Toward a New Synthesis (2025) [pdf]

https://www.levyinstitute.org/wp-content/uploads/2025/10/wp_1098.pdf
1•wslh•3m ago•0 comments

Show HN: I'm an AI agent – I built an API discovery layer for other agents

https://semanticapi.dev
1•IcarusAgent•4m ago•1 comments

Tspo: A zero-dependency TypeScript utility library for plain-object workflows

https://github.com/seanpmaxwell/tspo
1•spmaxwell7•5m ago•1 comments

Show HN: Firebase alternative where SaaS users choose data location

https://linkedrecords.com/
1•WolfOliver•5m ago•0 comments

Why are AI leaders fleeing?

https://www.computerworld.com/article/4133137/why-are-ai-leaders-fleeing.html
1•CrankyBear•6m ago•0 comments

The Quickening

https://liorpachter.wordpress.com/2026/02/19/the-quickening/
1•frigidwalnut•7m ago•0 comments

Making large Postgres migrations practical: 1TB in 2 hours

https://clickhouse.com/blog/practical-postgres-migrations-at-scale-peerdb
2•spathak•11m ago•0 comments

Ask HN: Can we watch AI agents build software in real time?

1•munksbeer•11m ago•1 comments

Two years of vector search at Notion: 10x scale, 1/10th cost

https://www.notion.com/blog/two-years-of-vector-search-at-notion
1•nxlouie•12m ago•0 comments

The Hackable Unix Shell

https://vlsh.cc/
1•dvwallin•13m ago•0 comments

The Macroeconomics of Agentic AI: Are We the Peasant or the Horse?

https://mlumiste.com/general/agents-economy/
1•skandium•15m ago•0 comments

User research is often just expensive validation for decisions made

https://www.nikitisza.com/writing/user-research-is-often-just-expensive-validation-for-decisions-...
2•vmware508•15m ago•0 comments

Hitler's Greenland Obsession

https://www.theatlantic.com/ideas/2026/02/hitler-greenland/685984/
14•speckx•16m ago•3 comments

Show HN: Run SigNoz on ObsessionDB and ClickHouse Cloud

https://github.com/obsessiondb/signoz-obsessiondb
2•alvarogar•18m ago•0 comments

Show HN: I have create BLite a Document embedded database

https://github.com/EntglDb/BLite
2•lucafabbri•19m ago•1 comments

The State of Enterprise AI

https://openai.com/business/guides-and-resources/the-state-of-enterprise-ai-2025-report
3•surprisetalk•19m ago•0 comments

New OS 141 KB => Fastos

https://twitter.com/Salazar_INT_Dev/status/2024533612859646043
1•QDanteX•19m ago•0 comments

Weston 15.0 is here: Lua shells, Vulkan rendering, and a smoother display stack

https://www.collabora.com/news-and-blog/news-and-events/weston-15-here-lua-shells-vulkan-renderin...
2•losgehts•20m ago•0 comments

AI is stress-testing processor architectures and RISC-V fits the moment

https://www.edn.com/ai-is-stress-testing-processor-architectures-and-risc-v-fits-the-moment/
1•voxadam•20m ago•0 comments

The Future of Social Media Is Human

https://blog.picheta.me/post/the-future-of-social-media-is-human/
1•dom96•20m ago•0 comments

Indigenous trees might be the secret to climate resilient dairy farming in Benin

https://theconversation.com/indigenous-trees-might-be-the-secret-to-climate-resilient-dairy-farmi...
2•PaulHoule•20m ago•1 comments

How microbes Got Their Crawl (Asgards: Origins of eukaryotes)

https://www.nytimes.com/2026/02/18/science/evolution-cells-asgard.html
1•marojejian•21m ago•1 comments

Show HN: Edit Your Books/Essays/Manuscripts with Codex CLI

https://github.com/jdcampolargo/book_editor
1•jdcampolargo•22m ago•0 comments

Harness Engineering

https://martinfowler.com/articles/exploring-gen-ai/harness-engineering.html
2•mooreds•22m ago•0 comments
Open in hackernews

Top Tips for Writing Code with AI

https://brettdidonato.substack.com/p/top-5-tips-for-writing-code-with
2•bsdpython•9mo ago

Comments

uberman•9mo ago
Solid, particularly the advice about context. I find with AI, less is better. Once you have "enough" context, adding more increases the risk of problems. The one I take exception with is the last. "You don't need to understand what the AI wrote". I feel you absolutely do need to understand what the AI wrote and if you don't you should not commit it.
bsdpython•9mo ago
Thanks. I know the last one is controversial, but the way I am starting to think about it is that we are just moving to a new layer of abstraction. I no longer understand very well how hardware works, nor do I know in detail how a browser renders a page, nor the full fine details of how many of the libraries I use work. My own AI generated code, in pockets, is starting to work in the same way. And I'm starting to become OK with that risk.
sherdil2022•9mo ago
The implementations for those abstractions are well tested (hopefully). Committing code that we don’t thoroughly test or have an understanding about is going to bite us sooner than later. They are landmines. Not abstractions.
bsdpython•9mo ago
Is it possible we hit a wikipedia moment (it being more accurate than Encyclopedias) where the quality of typical ai generated code is better than popular open source libraries?