Consulting, fast-turnaround engagements, and training that make good
software engineering practices stick — not abstract theory, applied to
your actual delivery constraints.
The payoff across all of it is the same: your team's
knowledge grows, and it becomes more effective and autonomous,
quickly.
Express Solutions
Express Solutions are short, fixed-scope engagements for teams that
need expert help now, not in three weeks. You get the same high-quality
consultancy as any other engagement — same senior people, same rigor —
but supported by our own AI assistants, like Cuprum and others not yet
released, which cut delivery time by roughly 5x without cutting corners
on quality.
Short-format consultancy engagements
Not every problem needs a long engagement. Express Solutions are
high-quality consultancies — max. 2 days — that lean on our own AI
assistants to move fast, for example defining a use case model in tight
collaboration with your business analysts. Your team learns
by doing, four-handed — working the
problem side by side with an experienced mentor instead of hearing
about it afterwards — while the consultant drives the assistant to
produce polished, complete outputs your team gets to keep.
Customizing and evaluating AI assistants
Beyond building assistants from scratch, we adapt the ones already in
the Alchemy catalog to your workflows and approval process, and set up
evaluations custom to your own business goals — so their impact is
measured, not assumed.
Customization of catalog assistants to your business
Beyond writing bespoke assistants, we customize the ones already in the
Alchemy catalog to your workflows and
approval process, and set up evaluations custom to your own business
goals.
Consulting and training
Hands-on consulting engagements and training or seminars covering the
practices that make software delivery reliable — from technical debt
and testability to domain modeling, AI-assisted development, and
architecture — pitched to where your team is now, not a generic
curriculum.
Technical debt assessment
An honest read on where debt sits and what it’s actually costing you, so
paying it down is a prioritized plan, not a vague intention.
Design for testability
Shaping a system so it’s cheap and reliable to test, instead of treating
testability as an afterthought bolted on at the end.
Domain-Driven Design
Grounding architecture and code in your actual domain, so the model in
the code matches the model in people’s heads.
Testing strategy and process
Improving how testing is planned, run, and reported across your
organization — not just the tests themselves.
Using AI tools for software development
Getting real productivity out of AI coding tools without giving up
architectural rigor or code quality.
Monolith to microservices
Moving off a monolith deliberately, one well-chosen seam at a time,
instead of a risky rewrite.
Design and implementation practices
Keeping the development process sustainable and the resulting output
maintainable, long after we leave.
