The annotated PyTorch training loop
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We've all done it: pasted an API key into a file "just to test," then a week later after the secret is already committed. So I built Secret Guardian, a VS Code extension that catches secrets live, in , the moment they appear — and visually masks them so they never show 👉 Secret Guardian on the VS Code Marketplace (free) Detects 17+ secret types as you type: AWS, GitHub, GitLab, Google, Slack, Stripe, OpenAI, SendGrid, Twilio, npm tokens, private keys, JWTs, credentials in URLs. A generic high-e
The idea Prop firm traders (people who trade with other people's money) need specific calculators that account for strict drawdown rules. Every existing calculator is either ugly, full of ads, or doesn't know that FTMO has a 5% daily drawdown limit. So I built PropWise — 10 interactive tools across 168 SEO-optimized pages, all in vanilla HTML, CSS, and JS. No framework. No build step. No dependencies. 10 core tools: Position Size Calculator (pre-configured for 12 prop firms) Challenge Cost Cal
I use Claude Code every single day. At my day job, it's my main agent, and I've talked plenty about how much I love it. But on my side projects, I like to play around with other agents: Codex, OpenCode, whatever new CLI shows up that week. And recently I hit a wall that turned out to be more annoying than I expected. I wanted to run a bunch of agents in parallel. Not one at a time, but several, across different projects, at the same time. And the moment I tried to do that, I realized every tool
I've built enough projects to know that environment variable validation isn't glamorous — until your app silently uses undefined as a database URL. There are a bunch of tools for this now, and picking the wrong one means either fighting your tool or fighting your own config. Here's how they stack up. Tool Size Dependencies CLI Framework support CtroEnv under 5 KB gzip 0 Yes Node, Vite, Next.js Zod + manual 50 KB+ 0 (Zod itself is ~13 KB gzip, plus your glue) No You build it envalid 8
Public pushback against data centers has emphasized their water and energy consumption, and now Nvidia is highlighting its claim that the Rubin generation reference design for a fully liquid-cooled data center has "eliminated massive amounts of power usage and pretty much all water usage." Still, it doesn't address all of the concerns around AI data centers, including during their construction, and for the power generation requirements of the massive facilities. Also, as Gizmodo points out, Nvid
Originally published on hexisteme notes, part of a series on building and running an AI agent fleet. To stop an AI research or RAG agent from presenting its own inferences as retrieved facts, split the work so the LLM never decides what is a fact: let the LLM only extract and summarize, and let a deterministic, non-LLM pipeline do all scoring, cross-checking, and labeling. Tag a claim FACT only when a rule is satisfied — corroboration by ≥2 independent sources, or one official API — and downgrad
hello ! im a CS student (2nd year) and ive been look around for some tech jobs. any kind because honestly i just want a tech related job (i <3 tech). but the problem is,so many jobs/places want you to have experience in the real-world but literally no one is willing to offer it. they want minimum 3-years experience. im considered learning some other programming languages that they require for jobs that could be useful. however, i want to practice what ive learnt in a real job setting. of course
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