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

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
1•tosh•51s ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

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

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

https://zenodo.org/records/18395618
1•alemonti06•6m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•9m 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•11m 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•12m 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/
1•michalpleban•13m 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•14m 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
1•mitchbob•14m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•15m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•15m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•19m ago•0 comments

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

https://bsod-fas.pages.dev/
1•keepamovin•22m ago•0 comments

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

https://orcha.nl
1•buildingwdavid•22m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•28m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•28m ago•0 comments

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

https://github.com/Concode0/Versor
1•concode0•29m ago•1 comments

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

https://medresearch-ai.org/hypotheses-hub/
1•panossk•32m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•35m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•35m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•35m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•35m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•37m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•39m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•41m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•43m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•44m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•44m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•47m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
5•sakanakana00•50m ago•1 comments
Open in hackernews

Show HN: CodeVROOM – an AI editor for large projects

1•sysmax•6mo ago
Hey HN,

Just wanted to share something cool I've been working on for the past half a year.

CodeVROOM[0] is a symbol-level AI editor designed for very fast incremental edits to large projects.

Instead of including entire files with your editing request, it trims them to include just the relevant parts, while preserving the overall structure, so the models won't get confused. It can also automatically ask the model what other symbols are relevant to a particular edit, and restart the conversation with these symbols. Here's an example [1] how a couple of context discovery steps quickly get from a hallucination-ridden answer to a straight-to-the-point implementation. And because the model works with heavily trimmed source files, it works very fast (1-2 seconds per step with Cerebras platform) and has negligible token costs (typically, under a cent per edit).

The main difference from CLI tools is to give the user full control over what's going on. You can step the editing session back, see what symbols the model deemed relevant, edit them, and retry. Or you can retry individual steps, switch between models at any point, or do special steps like "discover more context" or "expand my original instructions, giving several options". Most steps only take a few seconds with smaller models (LLaMA on Cerebras) or about a minute on larger models (Claude), so it's very easy to review what the model is doing, and steer it into the correct direction. You can also do things like ask Claude to expand your instructions, and then let LLaMA implement them.

CodeVROOM is built from scratch using .Net (WPF on Windows, Avalonia on Linux/Mac), so it has some unique features that other editors don't have. E.g. the change reviewing logic [2] is integrated with the outline, so you always have an overview of the added/removed/edited members, and can approve/reject edits in bulk. Or you can collapse series of unchanged members to see all edits at a glance (but with full context unlike plain diffs), or switch between inline and side-by-side modes.

The main use case is routine edits and refactorings that are not handled by the existing refactoring tools, and take several minutes to do by hand. Even small AI models handle these very well, and getting reviewable results from a consise prompt in a second or two is just way less distracting than doing it by hand. There are some examples of real-world edits here: [2].

There's also support for AI techniques where you provide plain-text instructions how to do a particular recurring task, and can then reference it from a prompt (port size-related properties per @PropertyPorting) and edit templates where you can write instructions for common edits (e.g. add null checks to a function) and then invoke them by clicking on a link above the function.

CodeVROOM supports 10 common cloud providers and local models via Ollama. It has old-school perpetual licenses with 1 year of free updates, there is no telemetry, and no lock-in. The product is the GUI, not your data.

It is stil early in development with tons of more features coming, but it can already save you some time side-by-side with your main IDE. The trial will remain unlimited until more IDE features are ready.

[0] https://codevroom.com/

[1] https://sysprogs.com/CodeVROOM/documentation/examples/connec...

[2] https://sysprogs.com/CodeVROOM/documentation/features/diffs/

[3] https://sysprogs.com/CodeVROOM/?features=examples