AI-assisted delivery · Engineering
Agentic engineering in practice: specs, context, verification and ownership
Agents can write a lot of code quickly. The work is making sure it is the right code. Here is the method we use on client projects.
Insights
Engineering decisions, written down.
Practical articles from our delivery work: how we plan architecture, evaluate AI workflows and choose between delivery models. Each one names its author and the date it was last checked.
AI automation · Buying guides
AI automation costs: build a budget before buying
The model bill is one line in the budget. Price the complete workflow, including integration, evaluation, human review and ownership after launch.
AI integration · Buying guides
Planning AI integration with CRM, ERP and internal knowledge
A useful integration starts with the records people may access and the actions they may approve. Choose a narrow workflow before choosing connectors.
Product engineering · Buying guides
What fits in a 30-day MVP? Scope, acceptance and exclusions
Thirty days is a planning constraint. Make one useful workflow complete, agree how it will be accepted and remove dependencies that cannot fit.
Dedicated teams · Buying guides
Dedicated team or fixed scope: how to choose the engagement
Choose the model around uncertainty and decision ownership. Compare the full delivery obligation, not an hourly rate beside an unrelated project total.
AI automation · Evaluation
How to evaluate an AI workflow before production
A demo that works on five examples tells you little. Here is the rubric we use to decide whether an AI workflow is ready for real work.
Engineering · Tutorials
How git merge conflicts really work, and how to make them painless
Follow one small change from your editor to a teammate's pull, see exactly what git compared, and resolve the conflict without reading raw markers.
AI-assisted delivery · Agency
AI-assisted delivery without losing engineering ownership
AI can multiply engineering speed. It can also flood a codebase with unreviewed noise. Three rules keep it on the right side.
Architecture · SaaS
Planning a multi-tenant SaaS architecture: auth, organizations and data boundaries
Multi-tenant SaaS fails quietly when tenancy is bolted on after features ship. Put the boundaries in the data model and the session from the start.
Outsourcing · Agency
Staff augmentation or a delivery team: which fits your project?
Both are valid outsourcing modes. The wrong choice usually comes from mixing them without clear ownership.
Outsourcing · Agency
How we run dedicated development teams for US and EU product companies
A dedicated team is one of the cleanest ways to add capacity, if it is staffed with people who can own features and work in your tools.
Next step
Tell us what you need to build.
Share the product, system or workflow you want to improve. We work remotely with businesses across Europe and the USA, in English or BCMS.