Career
How to become a freelance tech professional in 2026
A practical roadmap for developers, data professionals, and AI engineers who want to land freelance projects, set rates, write proposals, and build a client pipeline.
Blog
Field notes
Guides and essays for people building AI systems, growing technical skills, and finding freelance work.
Career
Programming has changed: what I focus on now
How AI is changing software development, why companies are moving from AI-enabled to AI-first to AI-native, and the two skills I focus on as writing code gets faster and cheaper.
Career
The 5 skills that matter when AI writes the code
AI wrote every line of my two-week Rust rebuild. The five skills that kept me in control are systems thinking, full stack range, clear communication, ruthless simplification, and testing.
Infrastructure
How to build webhooks for your AI platform
Webhook architecture for production AI systems. Verify signatures, store events, enforce idempotency, dispatch async workers, and recover failures.
Engineering
How to build your own AI platform
A practical architecture for a personal AI platform with webhooks, scheduled workflows, agents, durable events, and a tiered context hub.
Workflows
How I think about a personal AI operating system
Why I'm building my personal AI operating system from first principles instead of cloning agent harnesses like OpenClaw, with three layers, a boring backend, and a context hub.
Career
How to deliver custom AI solutions for clients
The client AI delivery process behind 50+ custom B2B projects, covering discovery calls, proof of concept vs MVP scoping, two-week sprints priced at 10 to 20k euros, one standardized Python stack, and deployment on a Hetzner VM.
Workflows
The 5 levels of AI agents: from simple LLM calls to multi-agent systems
A working framework for the five levels of AI agent complexity, from augmented LLM calls and DAG workflows to agent harnesses and multi-agent orchestration, and how to pick the simplest level that solves the problem.
Workflows
How to build human-in-the-loop for AI agents
Practical human-in-the-loop for AI agents, covering two ways to halt a process in your Python backend, plus the SSE streaming and async production patterns that save state and resume after approval.
Workflows
Context engineering for AI agents: why they still fail in production
Context engineering for AI agents in practice, covering why bad context, not the model, causes most production failures, and how to fix system prompts, tools, and message history.
Engineering
How to build production AI systems
How to build production AI systems with APIs, retrieval, agents, evals, deployment, monitoring, and human review around the model.
Engineering
How to learn Python for AI in 2026
A three-phase roadmap to learn Python for AI in 2026, covering professional setup, the language core, and your first model API calls, plus how to use ChatGPT and Claude as a tutor instead of a copy machine.