Turn manual work into software that runs.
Before you hire, buy another tool or start an AI project, know what to build, what it will cost and what it will change. I help companies turn the processes that no longer keep up into reliable software, from the first audit to production.
Fix the process that's stopped keeping up
Start with a fixed-price audit: what to automate, what not, and the smallest system that fixes it. Then build, ship and run it.
See how consulting works →Build the engineering judgment AI can't provide
Coaching and cohorts for developers who want to understand the systems they build, not just generate code.
Find your starting point →Audit. Build. Ship.
Most companies don't need another AI prototype. They need the right process turned into a reliable system. Each step has a fixed scope and price, and you can stop after any of them.
- Scope First AuditMap one process and design the smallest system that fixes it. €1,500 fixed, one week.
- BuildYour team builds it, we build it together, or I build it. Quoted in the proposal.
- Ship & runDeployed and documented, with monitoring sized to the system and an optional retainer.
If it's a good fit, the next step is the Scope First Audit.
I'm Bob Belderbos.
I've been building production software since 2006, much of it automation: 13 years on critical production environments at Sun Microsystems and Oracle, then co-founding Pybites in 2016 and running its Python and Rust coding platforms in production since.
Today I help companies turn manual processes into reliable software, and coach developers to make the same engineering calls themselves.
Read my full story →Build the judgment AI can't provide
Coaching, cohorts and practical engineering education for developers who want to understand the systems they build, not just generate code.
What I've built and shipped
20 years of production software, from enterprise systems to my own platforms.
Sun Microsystems & Oracle
13 years, 2007 to 2020, in critical production environments, around eight of them focused on support automation. One team initiative automated the resolution of around 40% of incoming x86 support calls, significantly reducing resolution times, improving customer satisfaction, and delivering substantial cost savings.
Pybites Platforms
Python and Rust coding platforms I co-founded and have run in production for years. The first version of the Python one was tightly scoped around one job: solving exercises.
AI prototype → production SaaS
Luca had an AI-built proof of concept he couldn't validate alone. We worked through Django settings, payment security and a testing strategy, and he shipped to production with confidence.
How I think about building systems
What production AI agents actually require
Chatting is easy. Executing real business logic with audit trails, approvals, and rollback is where most AI agents break. Here is what to build.
The control layer is the product, not the model
Gary Bernhardt called out the LLM fixation. The real work is the control layer above the model. Four patterns that make production AI reliable.
Build the Simplest Thing That Works
How constraints like 'no database' and 'two dependencies' led to a CLI CRM that fits in my head. A case for building small.
Mastery over Hype
Has a process stopped keeping up?
Book a 20-minute fit call. Bring the process, not a spec. If it isn't worth automating, I'll tell you.
Prefer email? Drop me a line →
Developer? Find your starting point → Not ready to talk? Read Mastery over Hype →