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
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.
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.
Why Large Behaviour Models matter: a pragmatic look at what Boston Dynamics and TRI are doing with Atlas, and what it means for industrial automation and domestic robotics.
A pragmatic tour of modern AI tooling for C# developers: Semantic Kernel, OpenAI.NET clients, LangChain.NET, ONNX, TorchSharp and vector stores, with practical snippets.
Curated collections of posts by format and depth
Latest thoughts and insights
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.
Honest reflections on moving from lead developer to Head of Software Development in my thirties. The shifts that matter, the traps I fell into, and practical playbooks for new leaders.
Exploring the concept of 'glue work' in modern software development and how strategic positioning can transform invisible contributions into recognised technical leadership in an evolving landscape.
How to supercharge your GitHub Copilot agents with instruction directories and persistent context. The game-changing technique that transforms how AI agents understand and work with your projects.
