Mike
Veerman

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CTO in residence
from Belgium 🇧🇪

Mike is a seasoned software architect turned seasoned engineering manager

Building software products is a tricky balancing act and Mike loves helping teams get better at it. He's allergic to paint-by-numbers-Agile and believes the right process has to be tailor-made for each company.

Which is the coolest country you ever visited?
Definitely Iceland! Or maybe Romania...? Or Indonesia? Antwerp?

Water or coffee?
Hard to give up one or the other, so let's meet in the middle and settle on an Americano?

About Mike

Base: Antwerp (BE)
Studies: Bachelor in Software engineering
Passions: rock climbing, travelling, amateur craft beer brewing

Expertises

Technical leadership
High performance teams
Writing
Coaching
Software Architecture
Keeping things simple

Articles by Mike

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Getting started with performance testing

Ideas and insights

Automated testing

Code quality and design

Performance bugs erode trust quietly until users explode. Three pragmatic steps help you catch slowdowns early: explore real bottlenecks with Sentry, test with production-sized data, and add lightweight API load tests.

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What will the state of AI be like by this time next year?

madewithlove

Ideas and insights

What will the state of AI be like in a year's time? Here are Mike Veerman's predictions of what major things will happen next in AI

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Smart is not enough: three criteria to select AI tools

Tooling

Ideas and insights

When selecting AI tools, companies must go beyond productivity and consider compliance, community support, and team management. Discover madewithlove’s pragmatic approach to responsible, scalable AI adoption.

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Fitness for purpose: taking risks with quality

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These questions will be answered after technical due diligence

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Making progress without a technical leader

We're always looking for talented peopleApply at madewithlove

Mike
Veerman

About Mike

Expertises

Articles by Mike

Getting started with performance testing

What will the state of AI be like by this time next year?

Smart is not enough: three criteria to select AI tools

Fitness for purpose: taking risks with quality

These questions will be answered after technical due diligence

Making progress without a technical leader

Pricing strategies in the era of AI: why hourly billing no longer works

Building a customer support machine: a pragmatic approach for startups

🌶️ SaaS startups should never use microservices. Like, never-ever.

Why you shouldn't let customers pay for features

How to start growing talent in-house

How to stop depending on that one developer

Do we even need a moat?

Scaling the A team

Some of Mike's colleagues

Charlotte

Emma

Emma

Andreas

Bram

Marios

Yannick

Tim

Novruz

For CTOs

For Founders

For Investors

For CPOs