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Mistral AI, which offers some open source AI models, has raised significant funding since its creation in 2023, with the ambition to “put frontier AI in the hands of everyone.”

Introduction "Agent" has become the word for any program that calls an LLM more than once, which makes it a word worth being precise about. An agent, in the sense this post uses, is a loop: the model decides which tool to call next, your code executes it, and the result feeds back in — repeating until the model decides it's done. That's a genuinely different (and riskier) shape than a single request/response call. This post builds on Building Reliable LLM Applications in Python : everyth...

Introduction Most Java codebases have plenty of tests and still get burned by production bugs. The problem is rarely quantity — it's that the tests exercise the wrong things: they assert internal wiring instead of behavior, they mock away every collaborator until nothing real is left, or they cover the happy path ten times and the failure path zero times. Good tests are fast, deterministic, and tell you something true about behavior. This post covers the practices that make JUnit 5 and ...

Introduction Python's testing tools are lightweight enough that it's easy to write a lot of tests without writing good ones. A suite that mocks every collaborator, duplicates the same assertion ten times with different inputs pasted in by hand, or chases a coverage number will pass in CI and still miss real bugs. pytest gives you fixtures, parametrize , and monkeypatch — the tools that make it just as easy to write the right tests as the wrong ones. This post covers how to use them...

Introduction Fixing N+1 queries (see the previous post ) gets your Hibernate app down to a handful of queries per request. The next bottleneck is what each of those queries costs once your tables have millions of rows — and that is almost always a question of indexing. An index turns "scan every row" into "look it up directly." Get the index wrong — or skip it — and a query that took 2ms in development takes 4 seconds in production once real data volume shows up. How Index...

Introduction Fixing N+1 queries with select_related / prefetch_related or selectinload (see the previous post ) gets you down to a small, sane number of queries per request. The next bottleneck is what each query costs once the table has millions of rows — and that is almost always about indexing. An index turns "scan every row" into "look it up directly." Skip it, and a query that's instant in development takes seconds once real data volume shows up in production. How...

Introduction to DMARC and the p=quarantine Policy DMARC (Domain-based Message Authentication, Reporting, and Conformance), defined in RFC 7489 , is an email authentication protocol. It builds upon SPF and DKIM to provide domain owners with the ability to protect their domain from unauthorized use. DMARC enables senders to specify how receiving mail servers should handle unauthenticated emails originating from their domain. It also provides a mechanism for receiving servers to report back ...

Everyone is talking. Almost no one is thinking. Your morning starts with a vibration, then another, then a pile-on. Slack wants a status update. Instagram wants your face. A group chat you muted in March has resurrected itself to debate brunch. By 9:07 am you have done the emotional labor of a small call center and you have not finished your coffee. We call this being connected. A more honest word is being farmed. The internet does not pay you for your best ideas. It pays you for your f...

I Spent 20+ Years in Industrial Maintenance. Now I’m Learning to Build Software. For most of my career, I worked in industrial maintenance as a boilermaker. Shutdowns, turnarounds, and repairs in refinery environments where systems either hold under pressure—or fail completely. There is no “it mostly works” in that world. Only working, or not working. That mindset didn’t disappear when I started learning software. It followed me. ⸻ I’m not just “learning to code.” I’m building...

Ever wondered why sometimes the simplest things throw a wrench in our beautifully crafted code? I recently had a realization that hit me like a ton of bricks: the bottleneck could literally be the air in the room. It sounds absurd, right? But let me take you on a little journey through my recent experiences that led me to this conclusion. The Setup: A Frustrating Week Just a few weeks ago, I was knee-deep in a project using Python and TensorFlow to build an AI model for image cla...

CAI.com — a custodial @cai .com email, multi-chain stablecoin wallet, and MCP-installable agent API A custodial email, a stablecoin wallet, a credential vault, and an agent-ready API — all at one @cai.com address. This post walks through what CAI is, what you get when you sign up, and how to wire the agent side into any MCP-compatible host. What you get at cai.com/app A free @cai.com email comes with four product surfaces, all under one account: A real inbox at...

I like neofetch / fastfetch , but I wanted one with a genuinely empty dependency graph — nothing pulled from crates.io. So I built purefetch : a small system-info fetcher written entirely in Rust using only std plus raw Linux syscalls. Disclosure up front: purefetch was built largely with AI assistance (Claude Code). I directed the design, and every change was reviewed and tested — including running it on four architectures under QEMU — but most of the code is AI-generated...

Meta description: RAG keeps your data in a vector database — but n8n AI workflows still ship retrieved chunks to OpenAI in plain text. Learn where n8n RAG pipelines leak PII, why Guardrails can't restore it, and how Privent tokenizes context before the LLM and detokenizes before the user sees the answer. Target keywords: privent, n8n, n8n RAG, n8n AI workflow, n8n workflow, n8n Guardrails, PII tokenization, data loss prevention When it comes to building AI agents and automations in ...

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Welcome to the trial post of a "Who's Hiring?" call for non-software engineer positions! As we try to kick this off, I would love community input on things like; What other details would you like employers to provide in their initial reply? What frequency do we want? Quarterly? Monthly? Every other week? Are there any other roles that should be considered for these posts? Any job postings should be geared towards needed company roles other than Software Engineer, such as customer s...

Let's learn about Social Engineering via these 62 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology. Social engineering is the psychological manipulation of people into performing actions or divulging confidential information, often used in cybersecurity attacks. Understanding it is crucial for individuals and organizations to defend against phishing, impersonation, and other...

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Apple built a tool for people with cognitive disabilities, but I accidentally discovered it’s also the best kids’ phone setup no one is talking about—not even Apple.

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Article URL: https://peteris.rocks/blog/htop/ Comments URL: https://news.ycombinator.com/item?id=48784777 Points: 142 # Comments: 18

Article URL: https://arstechnica.com/science/2026/07/a-martian-rock-has-lots-of-carbon-on-it-and-its-not-clear-why/ Comments URL: https://news.ycombinator.com/item?id=48785459 Points: 17 # Comments: 1

Article URL: https://www.scientificamerican.com/article/how-working-memory-could-give-rise-to-consciousness/ Comments URL: https://news.ycombinator.com/item?id=48785478 Points: 17 # Comments: 15