Growth insights

With staff augmentation you rent engineers and run them yourself. With managed services a vendor owns the result. The right choice depends on who should own the work, and the knowledge, a year from now.

Technical due diligence answers one question before you sign: can this technology carry the plan you are paying for? Here is what to check, and what should change the deal.

Most MVPs cost $50k–$150k and take 10–16 weeks. What moves the number is what has to work on day one, not how many screens you draw.

The model proposes, the code decides. How a deterministic engine catches hallucinated distances, impossible days and broken schedules in an AI road-trip planner.

AI virtual try-on is a pipeline of four models, and most quality problems come from what each one is given, not from the prompt.

Running every check on the phone removed per-photo inference cost and kept user photos local. It also meant fewer models to choose from and a lot of tuning against noisy sensors.

An LLM can draft hundreds of pages for a few dollars. Making them worth indexing takes a defensible dataset, a model with almost no freedom, and quality rules enforced in code.

How to evaluate an LLM application properly: the methods that work, what to measure for RAG and agents, and how to build evaluation into production instead of guessing.

Most platform teams struggle for reasons hiring won't solve. Here's how to diagnose which failure mode you're actually in before you post the next job description.

Most engineering consultancies pad margin with juniors. We can't. Here's the trade-off: what we give up by staffing senior-only, what we get in return, and when it makes us the wrong fit for your project.

The systems that survive their busiest hour of the year aren't lucky. They're architected for it, and the patterns turn out to be surprisingly consistent across industries where peak day is the whole business.

Compare software project kickoffs in Europe and the USA: speed vs risk reduction, discovery depth, and what to standardize for stronger delivery.

SaaS has become one of the most popular models for delivering digital products across industries (according to Statista). Its subscription logic and continuous updates make it strategically attractive. But for many business owners, the key question remains: what does it actually cost to build a SaaS product?

Migration is a business decision before it's a technical one. Here's how to make it deliberately, and how to recognise when "modular monolith" is the better answer.