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GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•4m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
1•helloplanets•6m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•14m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•16m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•17m ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•18m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
1•basilikum•20m ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•21m ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•25m ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•27m ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•27m ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•28m ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•30m ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•33m ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•36m ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•42m ago•0 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•43m ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•49m ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•50m ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
1•lifeisstillgood•51m ago•0 comments

Spotify now requires premium accounts for developer mode API access

https://www.neowin.net/news/spotify-now-requires-premium-accounts-for-developer-mode-api-access/
1•bundie•53m ago•0 comments

When Albert Einstein Moved to Princeton

https://twitter.com/Math_files/status/2020017485815456224
1•keepamovin•55m ago•0 comments

Agents.md as a Dark Signal

https://joshmock.com/post/2026-agents-md-as-a-dark-signal/
2•birdculture•57m ago•0 comments

System time, clocks, and their syncing in macOS

https://eclecticlight.co/2025/05/21/system-time-clocks-and-their-syncing-in-macos/
1•fanf2•58m ago•0 comments

McCLIM and 7GUIs – Part 1: The Counter

https://turtleware.eu/posts/McCLIM-and-7GUIs---Part-1-The-Counter.html
2•ramenbytes•1h ago•0 comments

So whats the next word, then? Almost-no-math intro to transformer models

https://matthias-kainer.de/blog/posts/so-whats-the-next-word-then-/
1•oesimania•1h ago•0 comments

Ed Zitron: The Hater's Guide to Microsoft

https://bsky.app/profile/edzitron.com/post/3me7ibeym2c2n
2•vintagedave•1h ago•1 comments

UK infants ill after drinking contaminated baby formula of Nestle and Danone

https://www.bbc.com/news/articles/c931rxnwn3lo
1•__natty__•1h ago•0 comments

Show HN: Android-based audio player for seniors – Homer Audio Player

https://homeraudioplayer.app
3•cinusek•1h ago•2 comments
Open in hackernews

Eng stack for a typical 2-person startup today

1•LunarFrost88•1mo ago
We're building arka.so. We are a 2-person team, and my mind is blown. You can achieve things I couldn’t have imagined a few years ago.

I think we’ve essentially unlocked unlimited engineering capacity for routine tasks, thanks to these AI tools.

First, we built everything serverless and chose Vercel. The bigger cloud vendors are great, but unless you have hundreds of customers, they’re often overkill. With serverless, unless there’s usage, there’s no cost. At some point the cost will exceed the value, but we’re not there yet. Vercel is serverless-first. This is not an ad, our usage has not crossed $20/month (compared to thousands somewhere else).

Second, DuckDB has become our in-memory engine for analytics where, in the past, we would’ve needed to run something like Snowflake. Even for medium analytical tasks (parse and analyze a massive CSV), DuckDB is brilliant. We’re also experimenting with making this scale by building our own DuckDB cluster and trying tools like MotherDuck to see how the cost compares.

Third, we heavily use Claude Code Web. Once Claude familiar with your repo (ask it to make copious notes), async coding is the next level of productivity. I now ask it to write a lot of the repetitive code paths. I put my kid to sleep, kick off 10 tasks, and wake up with usable code the next morning. I’m sure Codex is good too.

Fourth, we made everything testable and runnable by LLMs. Every new piece of functionality comes with clear debug routes that an LLM can understand and iterate on. We tell the LLM: you build it, you test it, you fix it, you Q/A it, come back with a report.

We also built everything in containers, so we’re not locked into a single cloud vendor and can deploy into a customer’s own environment easily. LLMs also understand these services the best, because they’re open-source.

So what does this mean?

There’s a lot of talk about human vs AI productivity right now, but I’m actually super bullish about the future. I think we’re going to see many more David-vs-Goliath stories. Small teams will win more often. We will have more time to build things the right way, and more time to talk to customers and learn.

Sharing this in case it’s useful to others building early.

Comments

rahmanyoo•1mo ago
Glad to see real outcomes from small teams.

> Once Claude familiar with your repo (ask it to make copious notes), async coding is the next level of productivity. I now ask it to write a lot of the repetitive code paths.

Can you share what is your approach to context engineering this ?

Also what AI tools you use on daily basis ?

JojoFatsani•1mo ago
Hate to break it to you but if nextJS is your front end you basically are vendor locked to vercel..