Your guide to navigating the journey from developer to technical leader. Practical insights on software development, leadership, and career growth from someone who's followed the same path.
Handpicked articles you shouldn't miss
My humble take on NVIDIA's DLSS 5 announcement at GTC 2026, what neural rendering means for the games we love, why the backlash misses the point, and how a 37-year-old who still plays WoW feels about the future of visual fidelity.
Nvidia built NemoClaw to put guardrails around OpenClaw. Meta is firing people for installing it. Microsoft says don't run it on your workstation. Here's what engineering leaders need to know about the security reckoning unfolding around agentic AI.
A practical deep-dive into how LLMs actually work, what RAG and vector indexes bring to the table, and how MCP is changing the way AI systems integrate with the real world.
Anthropic's Claude Cowork brings agentic AI out of the terminal and onto the desktop. Let's look at how it works, why Wall Street panicked, and what it means for how we work.
A practical review of Clawdbot/Moltbot/OpenClaw, the viral personal AI assistant that operates through chat apps. This article explores its architecture, capabilities, security considerations, and how it differs from other AI assistants with account access.
A pragmatic playbook for designing SaaS applications on Azure that can genuinely idle at near-zero cost—without sacrificing operability, security, or a clean upgrade path.
Curated collections of posts by format and depth
Latest thoughts and insights
Grey market peptides and AI companions are selling the same fantasy Rapture did: that technology can shortcut the difficult, messy, deeply human work of being alive.
A personal reflection on how growing up in the 90s with Tamagotchis, robot dogs, Transformers, and a certain lovable robot called Johnny Five shaped my lifelong fascination with AI and robotics.
Vibe coding lowered the barrier to building. But what happens next (security, resilience, maintainability) is where engineering experience starts to matter. This is my take on the journey.
A pragmatic look at 2026's technology landscape: from agentic AI becoming mainstream to the hardware squeeze affecting gamers and hobbyists, plus what's really happening with robotics and language models.