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Dead‑letter queues (DLQs) are one of the most underrated components in backend architecture. While most developers focus on retries and error handling, the DLQ is what ultimately protects the system from silent data loss, infinite retry loops, and corrupted workflows. Why dead‑letter queues matter s
Securing LLM Agent Teams: Inside NRT-Defense v0.4.0 Multi-turn autonomous LLM agents are expanding rapidly in safety-critical systems. However, a major vulnerability has been exposed by Lee et al. (2026) in the NRT-Bench paper: adaptive multi-turn attacks can exploit disjoint model vulnerabilities,
Calendar synchronization is one of the most challenging parts of building a multi‑channel rental platform. Every booking, cancellation, modification, or pricing update must propagate across all connected channels quickly and without conflicts. A single missed update can lead to double bookings, lost
Day 9. Template matching works. But screen sizes, resolutions, and Android versions might break everything. Eight days ago, the agent was an idea. Now it can read text, handle interruptions, and find icons on a screen. But there's a question I've been avoiding: does it work on any phone other than m
Project Log #9: My AI Agent Works on My Phone. But What About Yours? Okeke Chukwudubem Jun 20 #ai #webdev #programming #productivity 1 reaction Add Comment 3 min read
For 13 years I have worked in production at a steel-tube manufacturer. Not in an office — on the floor, with the machines, the night shifts, the handovers at 6 a.m. A few years ago I started building software in my free time. Not tutorials for their own sake — tools that solve problems I actually se
Chaos engineering sounds expensive. Netflix built Chaos Monkey to randomly kill production servers. Google runs DiRT (Disaster Recovery Testing) across their entire infrastructure. Amazon does game days where they intentionally take down services. You're building a Node.js API. You don't have a plat
I run a homelab with four RTX 3090s — 96 GB of VRAM, 44 CPU cores. For two weeks I tried to make it my daily driver for local LLM inference instead of paying for cloud APIs. I got it working. Then I looked at the numbers and subscribed to a paid API anyway. Here's the uncomfortable part, and the opt
As SaaS platforms grow, the codebase becomes harder to maintain. Features expand, integrations multiply, and the system starts to feel tightly coupled. Modular architecture solves this problem by splitting the platform into independent, self‑contained components that evolve without breaking each oth
There is a class of feature that used to be impossible to ship for free: anything that needed a language model. You wired up an API key, you ate the per-token bill, and every prompt your users typed went off to someone else's server. For a small public tool, that math usually killed the idea before
"These are not your friends. These are not conscious beings. These are not sentient interlocutors.”
The hit studio wanted to remind everyone why it's still around with new looks at 'Chainsaw Man,' 'Jujutsu Kaisen,' and more.
Trump spoke of his need for a "plane that’s much newer and much better." Is it actually better?
Better creative work started with better conversations.
GitHub Pages is one of the easiest ways to publish a website online for free. It is great for portfolios, landing pages, documentation, small business websites, and simple frontend projects. I use them all the time as all my code is stored on GitHub. In this tutorial, I will show you how to host you
In short: a prompt cache-break is when one change atop your prompt prefix — a fresh timestamp, a reordered tool block — makes the cache miss from there down, so cached reads silently re-bill as fresh input. cache_break.py hashes each prefix segment, localizes the break, and fails CI. On my fixture,
I've been building with Claude Code for the past few months. It's genuinely changed how I work — I can ship features in hours that used to take days. But I hit a wall I didn't expect. Claude Code built me a complete authentication system. NextAuth, email verification, password reset, the works. Ever
Most Teams Only Test One Screen Reader. Here’s the Problem With That. If you’re a frontend developer who cares about accessibility and or has to do the laborious task of screen reader testing for your web experiences, how many screen readers do you actually test with before shipping? For most teams,
Your upstream data source changed a column type last night. Your pipeline ran at 2am, ingested everything without a single error, and by the time your stakeholders opened their dashboards at 9am, the revenue numbers were wrong. No alert fired. No test failed. The pipeline was technically healthy. Th
Hi All, I was not aware of the Machine learning specialisation course and started with deep learning specialisation first. I have completed 1st courses and am able to understand the topics. thanks, 2 posts - 2 participants Read full topic
