GuideCareer
11 min read
A project earns attention when it lives in the same problem space as the companies you want to join. This article shows how to read job descriptions and engineering blogs to find that space, how to pick a project with one genuinely hard part, how to scope it to three or four weeks, and how to build it with AI help while keeping the interesting decisions your own.
GuideCareer
10 min read
Without an internship or a well-known college, your credibility comes from proof of work: things a stranger can open, run or read in a couple of minutes. This article explains the proof ladder, the four signals that matter most at entry level, what does not count, and how to make sure AI-assisted work still proves your own ability.
GuideTechnology
10 min read
Vibe coding means accepting AI-generated code without reading it, which is fine for a weekend toy and risky for anything that has users, data, money or a future. This article gives a fair account of both ends of the spectrum and a project workflow that keeps the speed while preserving your understanding.
GuideTechnology
11 min read
Generated code that works can still be vulnerable, depend on a package that should not be trusted, or resemble code with a licence you must respect. This article lists the common security weaknesses, shows a SQL injection example you can run, gives a short security review routine and explains licensing questions without pretending to be legal advice.
GuideTechnology
10 min read
AI-written code often passes AI-written tests, because both come from the same assumptions. This article shows how to write tests that check what the code should do, how to use AI as a second reviewer without relying on it, what to look for in AI-generated diffs, and how to refactor safely.
GuideTechnology
9 min read
Pasting an error into an assistant can solve a bug in a minute, or produce a patch that hides it. This article gives a safe debugging workflow: reproduce, share safely, ask for hypotheses, test them, review the fix, add a regression test, with a worked example and a list of dangerous 'fixes'.
GuideTechnology
10 min read
Reading code is the safest and often most valuable use of an AI assistant: nothing changes until you decide it should. This article covers explaining unfamiliar code, mapping a codebase, learning an API or framework, writing documentation and brainstorming architecture, with the checks that catch confident mistakes.
GuideTechnology
9 min read
Autocomplete, chat, edit mode, agents and review bots all promise faster coding. This article explains what each mode does, how to give it the context it needs, what the evidence says about speed and security, and the responsibilities that stay with you no matter who typed the code.
GuideTechnology
6 min read
If AI can write a working function in seconds, is learning to code still worth it? Yes, but the way you learn needs to change. A practical roadmap for beginners in 2026.
