The Autonomous Paradox In 2026, we’ve moved past simple chatbots. We are building Production-Grade RAG pipelines and autonomous agents that can plan, execute, and iterate. But as an architect, I’ve noticed a glaring hole in our "Agentic" future: Identity Sprawl. We are giving agents non-human identities (NHI) with "Full Admin" permissions just to ensure the RAG works smoothly. We are effectively
****I spent weeks optimizing: performance Lighthouse scores bundle size lazy loading SEO structure …while completely ignoring the thing users actually saw first: The link preview. Not the website itself. The preview card inside: Telegram Discord LinkedIn X Slack Facebook Reddit And after building more browser-based developer tools, I realized something important: A broken or low-quality Open Graph
An opinionated list of Python frameworks, libraries, tools, and resources
Run the same brand-query through ChatGPT, Gemini, Perplexity, Claude, and Grok. Read the citations. The cited URLs will not be the same, the brands featured will not be the same, and in roughly a third of cases one tool will cite your brand confidently while another does not mention it at all. The temptation is to reach for an algorithmic explanation different rerankers, different summarisation st
What if your Kubernetes cluster simply refused to run unsigned images? I spent some time experimenting with enforcing image provenance in a small Kubernetes setup using MicroK8s. The idea was simple: Only container images with valid cryptographic signatures are allowed to run in the cluster. For this I used: GitLab CI/CD (build + signing pipeline) Cosign / Sigstore (image signing) Kyverno (admissi
This is the follow-up to What I Actually Learned Building a Side Project in 5 Days With AI. That post was about AI. This one is about what happens after you ship — when you actually have to run the thing. I lost a freelance client last year because I forgot to send a monthly report. Not because I didn't do the work. I did the work. I just never wrote it down in a place I'd actually look. The repor
A few days ago, I read a fascinating post here by @404Saint about Arkoi, a tool designed to detect SEO poisoning. It struck a chord with me. If attackers can manipulate search engine results to push malware, what’s stopping them from manipulating the Latent Space of LLMs to misrepresent critical Web3 protocols? As the founder of HUTMINI, I’ve been obsessed with a new problem: AI-Era Visibility. We
TL;DR: I shipped image → PDF conversion but spent most of the week on SEO content instead of the planned batch UI and landing page. The numbers say that was the right call. Organic search became the #1 traffic source for the first time. Convertify is a free image converter I'm building solo: Rust + Axum + libvips on the backend, Next.js 16.2 SSG on the frontend, PostgreSQL for landing page content