Forketyfork

Understanding code is a big challenge in the AI era, which is why our colleague @forketyfork has built Walkthrough. This experimental plugin gives AI agents an MCP tool for walking you through code in a JetBrains IDE in a visual way rather than using walls of text. Check it out: plugins.jetbrains.com/plugin/31637-w…

Published the Walkthrough plugin for IntelliJ: let AI agents show you the visual walkthrough instead of a wall of text reddit.com/r/Jetbrains/s/…

«Клауд код» очень режет ухо. Миллениалы, которые так говорят, вы не смотрели в детстве фильмы с Жан-Клодом Ван Даммом, и не знаете, как произносится его имя? К зумерам претензий нет.

How soon is now

You have to understand. If you write short sentences like this, separated by new lines. This doesn’t make you sound smart or thoughtful. On the contrary. This looks pretentious and silly.

Apple, you got two identical icons for deleting the highlighted fragment and the comment, this is unbelievable for a company with such attention to detail and legacy of defining the human interface guidelines.

@addyosmani True, I’ve been working predominantly in a terminal for months. But task-based tools like Cursor Glass or Conductor don’t quite match my workflow, so I built my own terminal with native agent support. github.com/forketyfork/ar…

OpenAI building an alternative to GitHub, this a canonical example of "Not Vibecoded Here" approach?

@rohanpaul_ai Is this some kind of a thought experiment, or something actually useful? Do you just train on a relatively small number of books and documents published before 1911? Doesn’t seem to be enough for pretraining.

Demis Hassabis’s “Einstein test” for defining AGI: Train a model on all human knowledge but cut it off at 1911, then see if it can independently discover general relativity (as Einstein did by 1915); if yes, it’s AGI.

Sorting through my accounts in 1Password. Websites that suddenly require some additional data (age verification, phone number, etc.) just to log in and update the password or delete the account are the worst.

When Dario Amodei says that something “doesn’t happen infinitely fast”, what does this mean? What does “infinitely fast” even mean?

I haven't written a single line of code in 2026.

@thorstenball Structuring the automated governance loop, removing friction for the agents and making the project agent-legible is probably the most important thing for a software project right now.

@thorstenball At this point, instead of kicking off agents, one should install an AI-oriented governance and only enforce mandatory human review at particular points of the process. The role of the software engineer is shifting up, we're all team leads now.

"I am the bottleneck now" Few more thoughts

A North-Star post. Some tech insights into the “0 lines of manually written code” approach. Shows how much effort you need to put in to make the project agent-legible, throwing AGENTS(.)md in the repo is not enough. openai.com/index/harness-…

On DeepWiki and increasing malleability of software. This starts as partially a post on appreciation to DeepWiki, which I routinely find very useful and I think more people would find useful to know about. I went through a few iterations of use: Their first feature was that it auto-builds wiki pages for github repos (e.g. nanochat here) with quick Q&A: deepwiki.com/karpathy/nanoc… Just swap "github" to "deepwiki" in the URL for any repo and you can instantly Q&A against it. For example, yesterday I was curious about "how does torchao implement fp8 training?". I find that in *many* cases, library docs can be spotty and outdated and bad, but directly asking questions to the code via DeepWiki works very well. The code is the source of truth and LLMs are increasingly able to understand it. But then I realized that in many cases it's even a lot more powerful not being the direct (human) consumer of this information/functionality, but giving your agent access to DeepWiki via MCP. So e.g. yesterday I faced some annoyances with using torchao library for fp8 training and I had the suspicion that the whole thing really shouldn't be that complicated (wait shouldn't this be a Function like Linear except with a few extra casts and 3 calls to torch._scaled_mm?) so I tried: "Use DeepWiki MCP and Github CLI to look at how torchao implements fp8 training. Is it possible to 'rip out' the functionality? Implement nanochat/fp8.py that has identical API but is fully self-contained" Claude went off for 5 minutes and came back with 150 lines of clean code that worked out of the box, with tests proving equivalent results, which allowed me to delete torchao as repo dependency, and for some reason I still don't fully understand (I think it has to do with internals of torch compile) - this simple version runs 3% faster. The agent also found a lot of tiny implementation details that actually do matter, that I may have naively missed otherwise and that would have been very hard for maintainers to keep docs about. Tricks around numerics, dtypes, autocast, meta device, torch compile interactions so I learned a lot from the process too. So this is now the default fp8 training implementation for nanochat github.com/karpathy/nanoc… Anyway TLDR I find this combo of DeepWiki MCP + GitHub CLI is quite powerful to "rip out" any specific functionality from any github repo and target it for the very specific use case that you have in mind, and it actually kind of works now in some cases. Maybe you don't download, configure and take dependency on a giant monolithic library, maybe you point your agent at it and rip out the exact part you need. Maybe this informs how we write software more generally to actively encourage this workflow - e.g. building more "bacterial code", code that is less tangled, more self-contained, more dependency-free, more stateless, much easier to rip out from the repo (x.com/karpathy/statu…) There's obvious downsides and risks to this, but it is fundamentally a new option that was not possible or economical before (it would have cost too much time) but now with agents, it is. Software might become a lot more fluid and malleable. "Libraries are over, LLMs are the new compiler" :). And does your project really need its 100MB of dependencies?

@mitchellh @almonk libghossty is a solid backbone, I built my own terminal grid on top of it. x.com/forketyfork/st…

Beautiful libghostty-based iOS/iPad terminal by @almonk. Libghostty has been blowing up in usage it’s kind of silently behind so many apps now I’ll continue to share more. The idea is working! replay.software/echo

🦀

Anything you can do in Obsidian you can do from the command line. Obsidian CLI is now available in 1.12 (early access).

@openclaw Happened again: get hit by an issue, go to X to complain, see OpenClaw already fixed it 💪

🦞 OpenClaw 2026.2.9 just dropped 🔍 Grok web search provider 🧠 No more post-compaction amnesia 🛡️ Context overflow recovery ⏰ Cron reliability overhaul + 40 more fixes from 25+ contributors Elon we added your model btw, you're welcome. github.com/openclaw/openc…