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Why Bitcoin's is failing its role as a 'safe haven' versus gold

https://www.coindesk.com/markets/2026/01/24/here-s-why-bitcoin-s-is-failing-its-role-as-a-safe-ha...
1•PaulHoule•1m ago•0 comments

Writing a SQL database, take two: Zig and RocksDB

https://notes.eatonphil.com/zigrocks-sql.html
1•ibobev•3m ago•0 comments

Converting data to hexadecimal outputs quickly

https://lemire.me/blog/2026/02/02/converting-data-to-hexadecimal-outputs-quickly/
1•ibobev•3m ago•0 comments

Judgment Isn't Uniquely Human

https://stevenadler.substack.com/p/judgment-isnt-uniquely-human
1•gmays•3m ago•0 comments

Expansion Microscopy Has Transformed How We See the Cellular World

https://www.quantamagazine.org/expansion-microscopy-has-transformed-how-we-see-the-cellular-world...
1•ibobev•5m ago•0 comments

WebCad – free browser-based CAD with AI (export STEP)

https://app.webcad.ca/
1•tonio67•7m ago•1 comments

Show HN: Backseat Writer – AI pair writing

https://backseat-writer.vercel.app/demo
2•Dansvidania•8m ago•1 comments

Show HN: Implementation of Google's PaperBanana (diagram generation from text)

https://github.com/llmsresearch/paperbanana
1•dippatel1994•10m ago•0 comments

Clean Coder: The Dark Path (2017)

https://blog.cleancoder.com/uncle-bob/2017/01/11/TheDarkPath.html
1•andrewjf•11m ago•1 comments

What Do You Think of My Business Idea? (Claude Ad) [video]

https://www.youtube.com/watch?v=De-_wQpKw0s
2•eamag•14m ago•0 comments

Show HN: Grok Imagine – High-fidelity FLUX.1 generation with cinematic video

https://grok-imagine.me/
1•thenextechtrade•14m ago•0 comments

Show HN: Seren – Serverless Postgres, Rust SDK, CLI, & MCP Server for AI Agents

https://github.com/serenorg/seren
2•taariqlewis•15m ago•0 comments

Recursive Knowledge Synthesis for Multi-LLM Systems

https://arxiv.org/abs/2601.08839
1•bob1029•17m ago•0 comments

Microsoft's Pivotal AI Product Is Running into Big Problems

https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28
6•fortran77•18m ago•1 comments

Even after cutting EV incentives, Norway only sold 98 diesel cars in January

https://electrek.co/2026/02/03/even-after-cutting-ev-incentives-norway-only-sold-98-diesel-cars-i...
3•ceejayoz•19m ago•0 comments

Show HN: CuaBot – Co-op computer-use for any coding agent

https://github.com/trycua/cua
1•frabonacci•20m ago•0 comments

Forensic Photonics verifies digital evidence with Content Credentials

https://contentauthenticity.org/blog/how-forensic-photonics-verifies-digital-evidence-with-conten...
1•hasheddan•21m ago•0 comments

Show HN: DuoBolt – a review-first duplicate file finder powered by BLAKE3

https://duobolt.app/
2•r9ne•22m ago•1 comments

LibreQoS: Online Bufferbloat Test

https://bufferbloat.libreqos.com/
1•goodburb•22m ago•0 comments

Why the Future of Movies Lives on Letterboxd

https://www.nytimes.com/interactive/2026/02/03/magazine/letterboxd-film-discussion-site-streaming...
1•mitchbob•22m ago•1 comments

How do you validate AI-generated data transformations before prod?

https://www.yorph.ai
1•areddyfd•22m ago•1 comments

If AI Writes the Code, What Should Engineers Learn?

https://the-learning-agency.com/the-cutting-ed/article/if-ai-writes-the-code-what-should-engineer...
2•selvaprakash•23m ago•0 comments

A programmable, Lego-like material for robots emulates life's flexibility

https://techxplore.com/news/2026-02-programmable-lego-material-robots-emulates.html
1•Brajeshwar•24m ago•0 comments

Anthropic Super Bowl Spot Skewers ChatGPT Ads

https://www.businessinsider.com/anthropic-super-bowl-openai-chatgpt-ads-claude-2026-2
2•tortilla•24m ago•0 comments

Physicists achieve near-zero friction on macroscopic scales

https://phys.org/news/2026-02-physicists-friction-macroscopic-scales.html
1•Brajeshwar•24m ago•0 comments

Pipe organ playing a single, nonstop song until 2640

https://www.popsci.com/technology/pipe-organ-one-song-2640/
1•Brajeshwar•24m ago•0 comments

SpaceX grounds Falcon 9 missions, could impact ISS launch

https://phys.org/news/2026-02-spacex-grounds-falcon-missions-impact.html
2•bookmtn•24m ago•0 comments

Show HN: Distr 2.0 – A year of learning how to ship to customer environments

https://github.com/distr-sh/distr
1•louis_w_gk•25m ago•0 comments

Show HN: Orpheus, An Agent runtime that scales on queue depth and not CPU

https://github.com/arpitnath/orpheus
3•arpitnath42•26m ago•1 comments

Anthropic Performance Team Take-Home for Dummies

https://www.ikot.blog/anthropic-take-home-for-dummies
2•vinhnx•27m 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•8mo ago

Comments

uberman•8mo 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•8mo 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•8mo 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•8mo 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?