How Linkt collapses the build–test–deploy loop so teams move from idea to production in a fraction of the time — without trading away quality or control.
Most teams don't lose time because they're short on ideas. They lose it in the gap between a decision and a shipped change — the scaffolding, the boilerplate, the test coverage, the review cycles. Linkt puts agents to work across that whole loop so the time from intent to production shrinks from weeks to days.
A feature is usually clear long before it's live. What stretches the timeline is everything in between: wiring up a new endpoint, writing the migration, covering edge cases, getting eyes on the diff. Each step is small, but stacked across a roadmap they become the quarter.
Linkt's agents take on the mechanical majority of that work — generating the first pass of code, tests, and documentation — so engineers spend their hours on judgment, not typing.
The session walks through a single change from start to finish. An agent reads the relevant context, proposes an implementation, writes the accompanying tests, and opens a pull request — all while staying inside the repo's existing conventions and patterns.
When something fails, the loop closes on itself: the agent reads the failing test output, revises, and re-runs, surfacing a clean diff for human review rather than a half-finished draft.
Speed only matters if you can trust the output. Every agent action is proposed, never silently applied — changes arrive as reviewable diffs, scoped to the task, with the reasoning attached. Engineers approve, edit, or reject, and the system learns the team's bar over time.
The result is a workflow that feels less like delegating to a black box and more like working alongside a tireless, fast collaborator who always shows their work.
An agent that writes technically correct code in a style nobody on the team recognizes has created review work, not saved it. Staying inside the repo's existing patterns is what makes the output mergeable — and it is the difference between a tool your engineers adopt and one they quietly stop opening.
“The point isn't to remove engineers from the loop. It's to give them a loop worth being in.”
Deploying autonomous agents without handing over the keys — scoped permissions, full audit trails, and guardrails that hold by default.
Agents that research accounts, draft outreach, and keep the pipeline moving — so your team spends its time closing, not coordinating.
AI readiness check
A five minute conversation. Honest verdict, including no.
Tap to start. Takes about five minutes.
Describe a piece of work you would want AI doing. We will talk through whether it is deployable yet, and what is missing if it is not. What gets said appears here.
