Agentic SDLC for SaaS scale-ups
At scale-up speed, agents can ship features faster than your team can review, test and own them. That gap is where the regressions live, and closing it is what agentic SDLC is built for.
Velocity without the maintenance hangover
Production got cheaper; maintenance did not. An agent can write in a week what used to take months, but the team that has to understand and own that code does not scale at the same rate. The methodology adds the back-pressure: review gates, a second model, and QA moved into the spec, so speed does not quietly buy you a quality problem next quarter.
The spec is the prompt
For a product team, requirements engineering becomes the highest-leverage work. The interview-to-spec flow pulls PM and engineering into the requirement up front, with the reasoning on record, so the agent builds the right thing the first time instead of a confident version of the wrong thing.
Measured both ways
Velocity and stability get read together: a complexity-adjusted velocity number alongside the four DORA keys. A ship-rate win bought with a rising change-failure rate is not a win, and at scale-up stage that bill comes due fast.
Where to start
A two-week diagnostic on your real pipeline, then a Code Factory Build with a lead team on one product surface. From CHF 15k for the diagnostic, and you keep the baseline whatever you decide next.
Common questions
We already ship fast. What does this add?
Back-pressure. The constraint at scale-up stage is rarely writing more code; it is reviewing, understanding and owning what gets written. The gates and the upstream QA keep the speed from turning into a maintenance bill.
Will review gates slow us down?
They run as agent steps in the pipeline, not as a separate approval queue, and a wrong requirement caught at spec time is the cheapest fix you will ever make. Net, the loop gets faster.
How do you measure success?
A locked baseline before and after: complexity-adjusted velocity plus the four DORA keys, quality and adoption, read together so a velocity gain never hides a stability loss.
Start with one call, then a diagnostic or a scoping.
We go through where your R&D org stands, which codebases are ready, and whether the programme or a single module is the right first step.