AI-Augmented Software Development
AI-augmented software development is senior engineers shipping production software faster with AI tools in the delivery flow: the same engineers, the same review and ownership of the code, with machine-drafted work reviewed and owned by the engineer who ships it. It is Adaca's term for the way custom software is built here, and it is not a separate engagement or a separate team.
In Detail
What changes. Speed, first. Code that would have taken a day to draft takes an hour, which moves the engineer's time to the parts that need judgement: the data model, the integration boundaries, the tests, the review. Cost shape, second: a build that needed three engineers needs one full-time engineer and two part-time roles, one running the project and one working with the customer. The tools are trained on the conventions of the stack, so generated work arrives closer to the house standard than a new hire's would.
What does not change. Every line is reviewed by an engineer before it ships. The engineer owns the result, the tests are real, and the architecture is decided by people. Nothing goes to production because a tool produced it.
How it runs. Every engineer is trained on the tools that accelerate the build. Lovelace, Adaca's own tooling, keeps engineers and agents working from the same tickets and history. The engagement is the custom software engagement: discovery, design beside you, the build, and an agreed handover or support plan.
Common Questions
Is this the same as vibe coding?
No. Vibe coding accepts generated code without reading it; AI-augmented development has an engineer review and own every change.
Does it cost less?
It changes the team shape rather than the rate, and How We Charge sets out the models.
Which tools?
Claude Code and the coding assistants that fit the stack, chosen per engagement.
Last updated