Solution

Ship software faster

When releases take weeks and nobody is sure why, the problem is usually the process around the code rather than the people writing it.

Book a consultation

Why releases become an event

In most teams that ship slowly, the writing of the code is not the slow part. The slow part is everything around it: manual testing that takes two days, a deployment that only one person knows how to run, a staging environment that never quite matches production, and a release window that requires three people to be available on a Friday evening.

Because releasing is painful, teams release less often. Because they release less often, each release carries more change and more risk, which makes it more painful. The loop tightens until shipping anything feels dangerous.

What you get

The deliverables, specifically.

An honest measure of where the time goes

From the moment a change is written to the moment it is live, what actually happens and how long each step takes. Usually the answer surprises everyone.

Automated tests that are worth running

Enough coverage on the paths that matter that a green build genuinely means something. Not a coverage percentage chased for its own sake.

A deployment anyone can run

A pipeline that builds, tests and deploys on its own, so releasing stops depending on one person being available.

Smaller, more frequent, less frightening

The end state is that shipping is routine. That is what actually makes a team fast, not working longer.

How it runs

From first call to handover.

01

Measure the current path

Trace a real change end to end and time every step, including the waiting.

02

Cut the manual steps

Automate the ones that are mechanical, starting with whichever is costing the most.

03

Make the build trustworthy

Tests on the paths that matter, running on every change, blocking what should be blocked.

04

Release small and often

Shrink the batch size until a release is unremarkable.

Is this the right piece of work?

A good fit when

  • A change takes weeks to reach production and nobody can say exactly why
  • Deployments happen out of hours because they are risky
  • Only one person can deploy, and everything waits on them

We will say no when

  • The real problem is that requirements keep changing. Faster delivery of the wrong thing does not help.
  • You want the pipeline built and then never maintained. It will rot, and we will say so.

Samloryx runs this way on its own platform: a merge builds, tests and deploys itself, then smoke-checks the live site. See the platform page for how it is put together.

Other problems we solve

Add engineering capacity

More work than people, but not enough certainty to justify permanent hires yet.

See what is actually happening

Decisions made on assembled spreadsheets are decisions made on last month's data.

Build for POPIA from the start

Retrofitting data protection into a working system costs several times what designing for it would have.

Not sure this is the right starting point?

A short call costs nothing and usually makes the answer obvious. If a different piece of work suits you better, we will say so.

Book a consultation