"Vibe coding" without the mess: 7 guardrails that avoid rework
You can build fast with AI without losing control: here's a simple checklist.
You can build fast with AI without losing control: here's a simple checklist.
A practical summary of what will impact your work: agents, security, edge and governance.
Short-post ideas (that become long posts) in an educational, direct style.
You can scale content with AI, but you need quality, usefulness and consistency.
AI is normal in dev — but so are mistakes and risks. See alerts and defensive habits.
If the delivery cycle gets short, the quality standard has to become automatic.
An incremental method to refactor with AI without huge PRs and hidden bugs.
A simple strategy to support two languages without creating chaos in the frontend and content.
If you have AI in the flow, you need to log prompts, tool calls and decisions (with privacy).
A simple team-of-agents model to build features in parallel.
How to avoid headaches with open-source licenses, IP and code snippets in PRs.
A set of practical rules for using AI without losing technical standards.
AI fraud is already happening; learn patterns and defenses (detection, audit and limits).
A simple method to decide features and products with clarity, even when using AI.
Latency, cost, privacy: when running AI locally makes more sense than cloud.
Why the future of dev is less typing code and more directing agents.
AI is pushing infrastructure; devs need to understand cost, efficiency and impact on design.
The review of the future is contextual: understand the why before suggesting changes.
AI changes the game; here's a plan to level up (architecture, quality and product).
A practical guide to using AI in code without exposing keys, data and sensitive context.
If the agent can work for hours, you need checkpoints, criteria and observability.