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France's homegrown open source online office suite

https://github.com/suitenumerique
1•nar001•58s ago•0 comments

SpaceX Delays Mars Plans to Focus on Moon

https://www.wsj.com/science/space-astronomy/spacex-delays-mars-plans-to-focus-on-moon-66d5c542
1•BostonFern•1m ago•0 comments

Jeremy Wade's Mighty Rivers

https://www.youtube.com/playlist?list=PLyOro6vMGsP_xkW6FXxsaeHUkD5e-9AUa
1•saikatsg•1m ago•0 comments

Show HN: MCP App to play backgammon with your LLM

https://github.com/sam-mfb/backgammon-mcp
1•sam256•3m ago•0 comments

AI Command and Staff–Operational Evidence and Insights from Wargaming

https://www.militarystrategymagazine.com/article/ai-command-and-staff-operational-evidence-and-in...
1•tomwphillips•3m ago•0 comments

Show HN: CCBot – Control Claude Code from Telegram via tmux

https://github.com/six-ddc/ccbot
1•sixddc•4m ago•1 comments

Ask HN: Is the CoCo 3 the best 8 bit computer ever made?

1•amichail•7m ago•0 comments

Show HN: Convert your articles into videos in one click

https://vidinie.com/
1•kositheastro•9m ago•0 comments

Red Queen's Race

https://en.wikipedia.org/wiki/Red_Queen%27s_race
2•rzk•10m ago•0 comments

The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
2•gozzoo•12m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•12m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
2•tosh•13m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•14m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•19m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•22m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•24m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•25m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
2•michalpleban•26m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•27m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
2•mitchbob•27m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
2•alainrk•28m ago•1 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•28m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
2•edent•32m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•35m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•35m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•41m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
7•onurkanbkrc•41m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•42m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•45m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•48m ago•0 comments
Open in hackernews

Show HN : Pilot – System to improve dramatically your AI coding

https://github.com/clementrog/pilot
2•crog•3w ago
I'm a non-technical guy who spent 2 months trying to ship software with AI tools. Not toy projects — real things I wanted to use. Finance analyzers, productivity tools, dev utilities.

The models are incredible. But the loop was broken.

Every session started from zero. Context would explode. The AI would hallucinate with confidence. And because I can't read code, I had no way to verify when something was wrong. I just knew it was broken. So I stopped fighting the model and started building the system around it.

Pilot is a /pilot folder you drop into any repo. It's emergent complexity from simple primitives — markdown files that give AI tools:

Persistent state (STATE.md tracks where you are in the workflow) Scoped tasks (TASK.md defines boundaries before implementation) Evidence capture (real terminal output via MCP, not generated text) Protected paths (red zones require human approval) Recovery (LKG commit auto-updated after health passes)

The core insight: split the AI into two roles. Orchestrator (Claude/ChatGPT) — high reasoning, low volume. Writes specs, reviews evidence, manages flow. Builder (Cursor/Claude Code) — high volume, lower cost. Implements, provides proof. The Orchestrator defines scope before the Builder touches anything. The Builder works within boundaries. The Orchestrator reviews after. Two models, two verification passes. It's moving from "trust me" to "show me the terminal."

Why I needed this: I wanted to program by intuition, not by syntax. I can design systems. I can spec features. I can verify that tests pass and URLs work. What I can't do is read 200 lines of generated TypeScript and know if it's correct. So the system had to prove correctness without requiring code review. Evidence-based commits. Scope contracts. Clear rejection criteria. It's shared intuition for messy realities. Not a sandbox — I know markdown isn't a firewall. It's defense in depth: separation of concerns, multi-model review, explicit rules, human gates.

Technical notes: The workflow is a state machine: idle → building → verifying → done. Evidence comes from MCP-captured terminal output. The Orchestrator validates Builder output against TASK.md constraints. Red zone violations trigger automatic escalation. The /pilot folder is just markdown. Any MCP-enabled tool can read it. No vendor lock-in.

Limitations (being honest): Solo builder workflow. Team use needs merge strategy for state files. Convention-based, not filesystem-enforced. If you need true isolation, run in a container. Context can still drift if you skip the workflow. Health checks help, but it's not foolproof. Token overhead exists. Trading cost for correctness insurance.

What I've built with it: Private projects mostly — finance analyzer, productivity tools, Framer components, and Pilot itself. Iterating on the workflow every time I hit a wall until the walls stopped appearing.

Now using it on bigger things I plan to release.

Felt too good not to share.

Happy to discuss the architecture, failure modes, or specific edge cases.