Technical notes drawn from real projects: frontend, backend, AI, security, SEO, media and mobile apps.
An AI can write a great email but cannot see your calendar. MCP is the shared socket that connects AI to tools and data. Plain examples, permission and prompt injection risks, the 2026 state of the spec, and a working example.
Beginner
Three AI coding assistants differ in how you use them, how you pay and what happens to your data. A plain-words comparison from official docs checked on 21 October 2026, including Gemini CLI moving to Antigravity CLI.
Beginner
Six familiar traps: invented functions, scope creep, hitting a usage limit midway, forgetting earlier instructions, fake passing tests and leaked secrets. Each comes with signs, causes and prevention.
Beginner
Seven steps for letting an AI agent run commands without risking your data: least privilege, sandbox, ask-first modes, no passwords, a separate git branch, backups and reading each command before approving.
Intermediate
A chatbot answering customers at midnight sounds great, but it only knows what you give it to read. This post covers what to hand over, what data to prepare, how costs work and how to limit wrong answers.
Beginner
The same AI gives very different results depending on how you ask. A five-part way to write the request, three layers against invention, and a working code check.
Intermediate
Let the AI call your functions, show text as it arrives instead of a blank screen, and stop paying repeatedly for the same text. Correct models for October 2026, with Python and TypeScript.
Intermediate
One AI working on a big job loses track halfway. Split it across several small AIs with one coordinator, check results with your own measurements, and always keep a way back.
Intermediate