Read & reflect
Blog
Stories, lessons, and quiet reflections from the journey. Every article here is my own — not copied or republished from anywhere else.
Latest
Securing AI in the Enterprise — Real-World Use Cases and Safe Operating Practices
Framework, rules, skills, ACL plus runtime enforcement. Adds effective authorization, indirect prompt injection, action-bound approval, and how to test before you trust an agent on prod.
·10 min read
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What is an agent harness? Examples, flowcharts, and popular harnesses in 2026
The model is only the brain. The harness is the product: loop, tools, sandbox, verify, skills. A deep guide with flowcharts, comparisons of Cursor, Claude Code, Codex, OpenHands, and a minimal checklist for apply-AI builders.
·18 min read
Jev: when your agent doesn't need an LLM for every decision
My little agent called a model eleven times just to guess which emails were urgent. TypeSafe AI's Jev does not write prose — it returns probabilities for typed questions. Here is where I would wire it into a harness, and where I would still leave the LLM alone.
·6 min read
MotionSites AI: when the prompt is beautiful enough to copy, launch the service
MotionSites AI is a library of landing-page prompts: pick a block, copy it, paste it into an AI tool, then rewrite it for your actual product. Here is how I would use it in one afternoon, and where the "$5,000 agency" line stops being useful.
·4 min read
MCP vs Skills vs Subagents: pick the right one
Three AI building blocks everyone mixes up in 2026. Decision table, real Cursor examples, and a 15-minute checklist — so your agent does the job without burning tokens.
·12 min read
GitHub repos that actually help with AI coding: tokens and productivity
Caveman, Karpathy skills, Addy Osmani's Agent Skills, and a few others — mapped to real jobs: talk less, code leaner, load skills on demand.
·14 min read
Building a side project with AI agents: what's fast, what's slow
Honest notes from building mylittleworld.dev: scaffolding is fast; polish, ownership, and production still take time — told like a café conversation.
·8 min read
How to write bug reports so devs fix twice as fast
Bug report template plus bad vs good examples. Includes an AI-draft, QA-review workflow — worth saving for both QA and engineering.
·6 min read
Minimum smoke tests for small teams: 10 tests to stay alive
No huge framework needed — ten break-the-business flows, each with a business goal, seed data, and expected result. Built for startups and small squads.
·7 min read
Manual QA + AI + Playwright: who does what?
Does AI replace QA? Does Playwright replace manual testing? Clear split: AI drafts, QA decides, automation guards regression — with a one-sprint diagram.
·10 min read
From a production bug to a regression test in 30 minutes
A realistic incident walkthrough: bug hits prod → QA/dev respond → add a Playwright test → ship again. Ends with an incident → test asset checklist.
·8 min read
How Manual QA can leverage AI across the software lifecycle
AI does not replace Manual QA - it upgrades how QA works. From requirement analysis to release triage, QA teams can move faster and deeper with the right use.
·10 min read
Playwright in real software teams: from test scripts to release confidence
Playwright is not just for demo tests. In real products, it becomes a safety layer against regressions and helps teams ship faster with confidence.
·9 min read
Release checklist when you don't have a dedicated QA team
For founders, solo devs, and teams of 3–5: before/after deploy checklist and rollback criteria. If you already have QA, they usually own and extend this list.
·7 min read
My Corner of the Internet — Because It's Yours
Between LinkedIn, Medium, and endless AI templates, a hand-built personal site still matters — not because it looks better, but because it's yours.
·5 min read
Welcome to My Little World
The first post on my personal website.
·2 min read