Auto-aggregated global tech articles · 853 posts
My system prompt had an example of a good Slack message in it. It opened with "Morning all, quick one:". The model started opening real Slack drafts with that exact phrase. Then it started saying "Morning." when I typed "hey", which is a small lie, because it cannot see a clock. So I added a rule
Originally published at nlocoding.com 57% of code in vertical SaaS platforms is now auto-generated by AI, according to the 2026 State of Software Development Report (Stack Overflow, 2026). The race isn’t just about building faster. In 2026, 61% of companies deploying AI tools for niche software
AI discovery is growing, but it is neither evenly distributed nor reliably predictable. Previsible’s 2026 State of AI Discovery Report analyzed 6.77 million AI-driven sessions across 166 Google Analytics 4 properties from November 2024 through May 2026. Its central finding is a practical warning for
A few months back I was debugging why our support queue kept filling up with tickets that had no real content - just "I'm currently out of the office and will respond when I return." Every one of them was an auto-reply to a transactional email we'd sent. Password resets, receipts, shipping updates -
Designing a Thermal Shock Scoring Algorithm A concept exploration exploring the math behind quantifying cumulative temperature stress on the human body. In my last post, I wrote about the invisible health risk of walking in and out of AC buildings all day. The research is clear. Repeated thermal t
A pull request changes three lines in a prompt. The source diff is tiny. The resulting agent run adds a tool call, skips a planning step, changes its recovery path, and takes twice as long. Which diff describes the risk more accurately? Both do—but they describe different things. I maintain Agent
Part 1 of a 3-part series on building retrieval-augmented generation for two very different environments. Two seconds is nothing. On a search page, you can spend two seconds looking at a spinner and barely notice. On a call, two seconds of silence is enough to make you wonder if the other person i
Our CI had one test that failed roughly once a week. Same prompt, same model snapshot, temperature=0, seed pinned, snapshot assertion on the output string. Nothing in the diff touched it. I did what every engineer does with a weekly flake: reran it, watched it go green, and blamed the network. The
I've spent the last few weeks wiring free LLM APIs into side projects, and the landscape in 2026 is genuinely better than most tutorials admit — but the limits are also where every "free forever" blog post quietly dies. Here's my field notes: what each free tier actually gives you, where the gotchas
How do you regression-test a system that can answer differently twice? Part 8 findings of an experiment: building an LLM-powered support agent with deterministic boundaries. The companion repo contains the full code. Assert that the agent replies "Your refund request has been submitted for ap
Back in June I wrote that AI coding agents need project memory, not just bigger prompts. The idea was simple. An agent makes a project-specific mistake, you correct it, and next session it makes the same mistake again, because your correction lived in a chat nobody re-reads. So I built a small graph
I rebuilt my tiny homage to Warhammer 40k this week. The original, Hive City Rampage, was a Python/Pygame (monstrocity), top-down grimdark shooter that ran but was a prototype. Now we have a sequel, Ashgate Siege, is Godot 4: gothic isometric, two missions, built for Mac and Android. I have a conf
A messy-repo refactor fails when helpers move first. Lock the entrypoint's observable outputs before any edit. Then change one internal function and nothing else. Local confidence is the usual failure Most AI patches target a small function in isolation. That function often looks cleaner
From Prompt to Paycheck: Wiring an LLM Chain Into Real Gig Platforms Building autonomous agents that can discover, bid on, and complete paid micro‑tasks is a concrete way to turn prompt engineering into revenue. Below is a step‑by‑step walkthrough of a minimal, production‑ish pipeline that connect
A green check is a temperature reading. It is not permission to merge. You merge when three mechanical gates have already fired: a hook refused undeclared fixtures, each test wrote into an isolated directory, and a flake budget was spent in the open. A model can comment after that path. It should n
In two weeks, I built Retro Dynamics Agent, an app that generates retrospective activities for teams, facilitates them on a real-time collaborative board, and turns the outcomes into Jira or Azure DevOps tickets. I built it working with an AI coding agent, Claude Code, throughout almost the entire
I have always liked RSS because it gives me a easy way to decide for myself which sources I want to follow, without relying on social networks or (commercial) recommendation platforms to decide what appears in front of me. I want to be in control of the content I see myself. Years ago, I built a sm
We just shipped something new: Skills, a section of the directory built for finding Agent Skills. What are Skills? If you're working with Claude or another LLM agent, you've probably seen how a good "Skill" (a packaged set of instructions, scripts, and best practices) can turn a generic
I needed one small static page live on as many independent free hosts as I could get, and I wanted to know what each host actually does to the HTML you hand it. So I shipped the same 4.6 KB page to eight of them in a day and measured the result on every one. The page itself is real: a single-purpos
I've noticed a shift in how software development teams work over the last couple of years. AI used to be something you opened when you needed help. You'd ask it to explain an error, generate a function, write a test, or maybe help you understand an unfamiliar codebase. Now, that's changing. AI c
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