"Vibe coding" without the mess: 7 guardrails that avoid rework
You can build fast with AI without losing control: here's a simple checklist.
3 min read
AI trends that really matter in 2026 (for devs)
A practical summary of what will impact your work: agents, security, edge and governance.
2 min readFinal checklist: 25 title ideas to turn into a blog series
Short-post ideas (that become long posts) in an educational, direct style.
2 min readShadow pages and content with AI: how to do SEO without becoming spam
You can scale content with AI, but you need quality, usefulness and consistency.
2 min readAI security in development: lessons from the open source world
AI is normal in dev — but so are mistakes and risks. See alerts and defensive habits.
2 min readSDLC shrinking: how to keep quality when the cycle becomes hours
If the delivery cycle gets short, the quality standard has to become automatic.
1 min readRefactoring with AI: how to pay down tech debt without breaking production
An incremental method to refactor with AI without huge PRs and hidden bugs.
2 min readBilingual (EN/ES) with AI: how to internationalize product without duplicating work
A simple strategy to support two languages without creating chaos in the frontend and content.
2 min readObservability for AI apps: what to log so you're not flying blind
If you have AI in the flow, you need to log prompts, tool calls and decisions (with privacy).
2 min readMulti-agent: how to split roles to gain speed without losing control
A simple team-of-agents model to build features in parallel.
1 min readLegal and license risk: the side almost no one considers when using AI in code
How to avoid headaches with open-source licenses, IP and code snippets in PRs.
2 min readAI-assisted day to day: use it for mechanics, be skeptical on architecture
A set of practical rules for using AI without losing technical standards.
2 min readAI in the real world: scams with fake images and what devs can do
AI fraud is already happening; learn patterns and defenses (detection, audit and limits).
2 min read"The value isn't writing code": how to choose what to build (and not waste months)
A simple method to decide features and products with clarity, even when using AI.
2 min readEdge AI in 2026: why smaller models (on device) become a competitive advantage
Latency, cost, privacy: when running AI locally makes more sense than cloud.
2 min readThe orchestrator developer: the skill that becomes a differentiator in 2026
Why the future of dev is less typing code and more directing agents.
2 min readData centers, AI and energy: why this becomes a software problem too
AI is pushing infrastructure; devs need to understand cost, efficiency and impact on design.
2 min readCode review with AI + RAG: how to review intent, not just style
The review of the future is contextual: understand the why before suggesting changes.
2 min readDev career with AI: how to increase your value without becoming a prompt pusher
AI changes the game; here's a plan to level up (architecture, quality and product).
2 min readCode assistant is also an attack surface: how not to leak secrets and keys
A practical guide to using AI in code without exposing keys, data and sensitive context.
2 min readAgents that work for hours (or days): how to manage long tasks with AI
If the agent can work for hours, you need checkpoints, criteria and observability.
2 min read