AI coding
11 articles on this topic.
AI Coding Do's and Don'ts
The practical rules for using AI to write code safely: review everything, keep secrets out, test, write small changes, own the result, and what to never do.
AI Coding in 2026: A Practical Guide for Business Owners
What AI coding tools are, what they can and cannot do, how they change software projects, and what business owners should ask a developer about their use.
AI Coding Assistants Compared: What Each Type Is Good At
A practical comparison of AI coding tools by type (autocomplete, chat, agents, app generators), how to pick one and what to test before standardising.
Can AI Build My Whole App? An Honest Answer
AI can build a working prototype of an app, but a production app needs design decisions, security, testing and maintenance. Here is what AI does well and what still needs people.
Claude for Coding: How We Use It on Real Projects
How a software studio uses Claude for coding: where it helps, where we do not trust it, our review habits and the products we built on Claude.
Never Paste Secrets Into an AI Assistant: What to Do Instead
Why API keys, passwords and customer data should stay out of AI prompts, how leaks happen, and safer habits for developers and business owners.
Rescuing an AI-Built MVP: What to Check and How to Fix It
How to assess and fix an app built mostly with AI: audit security, data, tests and structure, then decide to stabilise, refactor or rebuild.
Reviewing AI-Written Code: A Checklist
A practical checklist for reviewing code written by AI: correctness, security, tests, dependencies, performance and maintainability, with questions to ask.
Security Risks of AI-Generated Code
The common security problems in AI-written code, such as injection, weak authentication, leaked secrets and unsafe dependencies, and how to review for them.
Technical Debt From AI Code: How It Builds Up and How to Avoid It
How fast AI-generated code can pile up duplication, inconsistency and unclear structure, and how to keep a codebase healthy with review, standards and refactoring.
Vibe Coding: What It Is and Where It Fits
Vibe coding means building software by describing it to an AI and accepting what it writes. Where it works, where it does not, and how to use it responsibly.
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