The Tech Compass: Navigating AI's Waves, Securing Our Foundations, and Optimizing Every Byte Welcome to your latest dose of cutting-edge insights! As we hurtle further into 2026, the technology landscape continues its breathtaking transformation. This week's trending talks offer a fascinating snapshot of where we are and where we're headed. From the pervasive, sometimes perilous, influence of Ar
Making yogurt at home isn't hard. You can control the sugar, the fat, add any flavour you want. Free from the tyranny of Big Yogurt! Yet somehow, Danone is still doing fine. Same goes for home-brewed beer, homemade bread, 3D printing. All great hobbies. All more accessible than ever. None have actually disrupted their industries. Better tools raise the floor and the ceiling. The hobbyist gets bett
I watched 30 users talk to the same voice agent Same script. Same questions. The only thing I changed was the response latency: 300ms, 500ms, 800ms. At 300ms, people just talked. No awkward pauses, no confusion. One user didn't even realize it was an AI until I told her afterward. At 500ms, something shifted. Users started talking over the agent. They'd ask a question, wait half a second, then r
Originally published at Perl Weekly 771 Hi there, I put the 'Testing in Perl' course on hold for now. Instead of that we are going to explore the use of some of the mocking libraries we saw during the course. In the next session we'll pick one of the Perl modules used for mocking and we'll look for modules that use it. We'll try to understand how it is being used and we'll try to contribute someth
Building CLMA: A Self-Verifying Multi-Agent Framework from Scratch Posted on May 4, 2026 · #LLM #MultiAgent #CodeGeneration #OpenSource #SystemDesign #WebUI #SSE All code is open source on GitHub: github.com/kriely/CLMA If you've spent any time using AI for coding, you've experienced this cycle: ask → get code → try to run → it fails → paste error → get fix → something else breaks → lather, rins
Si usas Claude Code para programar ya sabes lo que pasa: abres una nueva sesión y el agente vuelve a improvisar. El contexto de la sesión anterior desapareció. Le describes la feature de nuevo, asume cosas distintas, y acabas corrigiendo código que nadie pidió. OpenSpec resuelve exactamente eso. Es un CLI open-source que inserta una capa de especificación versionada dentro de tu proyecto. Claude C
Manual content discovery is a core skill in application security testing. Instead of relying only on automated scanners, you can use simple HTTP requests and browser tools to find exposed files, hidden paths, and technology fingerprints. This covers techniques like checking robots.txt, fingerprinting favicons, reading sitemap.xml, inspecting HTTP headers, and spotting framework markers in HTML sou
Series: AI Isn’t an Engineering Problem Anymore (Part 2) In the last post, I talked about hitting a usage limit while debugging my robot and realizing how repetitive my own AI usage had become. When we use LLMs, whether through APIs or tools, it feels like every request is new. The inefficiency isn’t from using AI too much. You don’t ask once, you iterate. These are the most interesting ones. Some