Auto-aggregated global tech articles · 196 posts
I had already reached an uncomfortable conclusion: Giving an AI coding agent better instructions was not enough. So I started building repository-level governance around things like source-of-truth ownership, review behavior, evidence, scope, and lifecycle. The repository became more consistent.
Hey everyone! 👋 I've been working on a side project called EasyResume AI, and it's now live on Peerlist. The idea came from a simple problem: job applications involve a lot of repetitive work. You create your resume, try to understand whether it matches a specific job description, and then write a t
Some ideas feel obvious in hindsight, but nobody had really executed them well until now. Lenexus, a platform built by MJ Corp, is one of those: map every system, supplier, person and AI a company depends on into a single living graph, so you can finally answer the question most organizations strugg
Two weeks ago my Code Jam got zero submissions because I buried it inside a chat app. So I rebuilt it as a standalone platform. Now I'm going bigger: KODA Online Fest 2026 — a 3-day coding festival, hosted entirely from a POCO C55 in Tamil Nadu. Sept 12–14. 🎪 THE THREE TRACKS 🏆 TRACK 1
Last week I ran the first KODA Code Jam — a tournament where developers build niche single-page apps, submit them to the Showcase Wall, and compete for Champion status. The result: zero submissions. I could've blamed users. "They didn't care." "The timing was wrong." "My audience isn't into hackat
I tested two local LLMs in two different quantization formats on the same laptop, on the same prompt, three trials each. The result is the opposite of what the marketing says: the supposedly-faster new format lost by 1.8x. Q4_K_M (the older integer-based format) hit 4.7 tokens/second and finished a
Quick question. If you run a voice agent, do you know your prompt cache hit rate on turn 1? Not the average across the call. Just turn 1, when the caller has said hello and is sitting in silence waiting for your agent to speak. We thought ours was fine. We pre-warm before every call, like everyone
A few weeks ago I was talking with Claude about whether a model could have anything like a belief, and what it would take. Its answer was that tool use is the most underrated piece: a tool is the first thing that can tell a model "no" where the "no" does not come from a human. Run some code, and the
An agent loop is the cycle in which a language model decides an action, that action runs, and the result feeds back in as context for the next decision, until a stopping condition is met. That repetition—decide, act, observe, repeat—is what separates an agent from a chat. A chat answers each message
I shipped a bug in a script I sell. I had also reported that script as "verified across four scenarios." I had verified it. In a way that verified nothing. What was broken The script cleans up git worktree directories once their branch is merged. Part of the decision was detecting squash
Open Claude on a weekday in August 2026 and there’s a fair chance you’ll meet a spinner, an error, or the words “server is busy” where an answer should be. It might be Claude Code stalling mid-task, the app refusing to load a chat, or the API throwing elevated error rates at whatever you built on to
SEO success in 2027 may depend less on accumulating backlinks and more on building earned authority that search and AI systems can recognize across the web. Search Engine Land's SEO priorities for 2027 guide argues that being discoverable is no longer enough. Brands increasingly need to be understoo