Context before code
The system should be understood before it is changed. Kaplira keeps architecture, decisions, and known risks close to every run.
About Kaplira
Independent by design. Built for accountable AI development.
Kaplira helps coding agents move quickly while the people responsible for the software retain understanding, boundaries, and evidence.
Why it exists
Speed should not cost you the system.
AI coding agents can produce code faster than teams can preserve the reasoning, architecture, and operational context around it. Kaplira is the control layer that keeps those things attached to the work.
That context belongs to the project, not to a session. Construction Memory keeps accepted decisions, known risks, and active protections in your workspace, so changing agent or model does not restart the project's understanding of itself.
It is created independently by Vando Pereira, a software engineer building the product end to end and using it to govern its own development.
Product principles
Boundaries that hold
Scope is a product constraint, not a suggestion in a prompt. Agents receive explicit permissions and a visible definition of done.
Evidence after every run
A change should leave an inspectable record of intent, impact, and validation — not just a message saying the work is complete.
Built by one engineer, in the open.
If any of this matches how your team already works — or clearly does not — that is worth a direct conversation. It is what shapes the product next.