Accelerated
The infrastructure and discipline that make agent-driven work trustworthy at speed.
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Repeatable building blocks for auth, search, storage, and notifications, ready to assemble and customize. Agents build from known patterns instead of generating from scratch each time.
Fast, low-touch deployment and rollback make a bad change cheap to undo. That safety net is what lets you take on faster, larger AI-driven changes without losing trust.
Test cases catch faulty execution early. Continuous documentation keeps a live source of truth, and shared context across agents and teams means nothing gets rediscovered or contradicted
The infrastructure and discipline that make agent-driven work trustworthy at speed.
Our thinking is grounded in how information moves, and how decisions are made. We map inner workings first, so that interaction becomes a natural outcome. Aesthetics follow the truth of the product, not the other way around.
Turns every feature, bug, or task into a numbered, file-specific plan before any code gets written.
Turns every feature, bug, or task into a numbered, file-specific plan before any code gets written.
Writes and edits code for non-UI work once a plan exists, always working from delegation rather than inline edits.
Runs typecheck, lint, and build after every change, reporting failures with file and line precision.
Checks for correctness bugs, security issues, and unnecessary complexity before anything moves forward.
Handles git, PRs, and pipeline config as the final step, once everything else has been approved.
A flexible tech-stack
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Built by Canvs
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Studio Tooling
2 Sep, 2026
The most useful research question is often one that may not arise at the beginning of a project. Premankan Seal writes about building a persistent research system that follows questions as they emerge, draws on what earlier projects uncovered and brings evidence into decisions while they are still open.
Studio Tooling
27 aug, 2026
A client privacy constraint nudged Himanshu into building his own tool for small file jobs. He talks about how he built it and how that maps to the way he builds with agents generally.
Studio Tooling
25 Aug, 2026
For more than a decade, Canvs has documented the choices and reasoning around its projects. We talk about the intelligent system we are building that is always learning and contextualizing what it picks up, bringing that history into decisions as they happen.
