Escritos
Ideas, tutoriales y análisis en profundidad sobre agentes de IA, automatización e ingeniería de producto.

July 30, 2026 · Business · 7 min de lectura
Nvidia has rallied nearly 40 tech giants — from Microsoft and IBM to SpaceX and Hugging Face — behind the Open Secure AI Alliance, a coalition building open-source tools to defend against AI-powered cyberattacks. Here's what it means, who's in, and the one name conspicuously missing.

July 27, 2026 · Security · 5 min de lectura
The Claude chats showing up in search results aren't a Claude problem. They're the web working exactly as designed — and most people building on it still don't get that.

July 19, 2026 · Team Culture · 10 min de lectura
Week 6 was supposed to be the close — exit interviews, a playbook, a quiet wind-down. The exit interviews said the quiet part out loud and the energy score told us why. So instead of ending it, we made the game a standing practice: a recurring room whose only job is to put the technical people together with no ticket attached.
Por Daniel Nikulshyn
June 5, 2026 · Automation · 5 min de lectura

May 27, 2026 · AI Engineering · 4 min de lectura
No-code combined with AI is fundamentally changing how software is built, allowing founders and creators to turn ideas into working products faster than ever before.

May 26, 2026 · AI Engineering · 5 min de lectura
Most AI projects fail not because of technology, but because of strategy, data, and people. Here are six common mistakes companies make when adopting AI — and how to avoid them.

May 26, 2026 · AI Engineering · 2 min de lectura
AI is no longer a future trend — it's a practical tool helping teams automate repetitive tasks and focus on higher-value work.

May 21, 2026 · Team Culture · 3 min de lectura
A look into the history, symbolism, and cultural importance of the Ukrainian vyshyvanka — a timeless national symbol.

May 14, 2026 · AI Engineering · 8 min de lectura
Three weeks ago we converted every internal checklist we run more than once a month into a Claude Skill. Eleven went in. Six are still active, two got deprecated, three never shipped. Here's what we kept, what we killed, and the three-question filter we wish we'd used on day one.
Por Anderson da SIlva
May 14, 2026 · Team Culture · 7 min de lectura
Two more experiments delivered. The retrospective build caught the architectural decision the written post-mortem missed; the "explain it to me" challenge worked on three of five attempts, and the two that failed were the bigger lesson. Plus the second precondition for replicability we didn't see coming: a team willing to publish its own seams.
Por Daniel Nikulshyn
May 8, 2026 · Team Culture · 6 min de lectura
Two weeks, two experiments. Design and PM joined for a cross-role night that reshaped how we talk about UX, and a structured build challenge inside Minecraft surfaced architecture issues no sprint review ever did. Plus the harder question we're now sitting with: is any of this replicable?
Por Daniel Nikulshyn
May 8, 2026 · Automation · 2 min de lectura
I completed a full database coursework in just one evening using Claude - not by outsourcing the work, but by accelerating every step of the process. This is a story about how AI shifts your role from writing everything manually to effectively orchestrating the outcome.

April 22, 2026 · Security · 4 min de lectura
What if your laptop had an AI living inside it, silently watching every process, file, and network request — stopping threats before they even become threats? The future of antivirus isn't signatures. It's intelligence.

April 19, 2026 · Team Culture · 2 min de lectura
What happens when a Minecraft server stops being just an after-hours hangout and quietly becomes part of how your team thinks? Here's week two of our Game-Test experiment.

April 3, 2026 · Team Culture · 2 min de lectura
We gave our developers a shared Minecraft server to unwind after work — and it accidentally became our most productive idea space. Here's what happened in week one of our Game-Test experiment.

March 26, 2026 · AI Engineering · 1 min de lectura
RAG (Retrieval-Augmented Generation) lets AI answer questions using your own data — not just general training. Learn how it works and why it's the most practical AI investment you can make right now.