For engineering teams using AI coding agents

AI made code cheaper. It did not make engineering attention free.

Kodan catches work, scopes ambiguity, prepares early solutions, and keeps review evidence visible as your process becomes a software factory.

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Kodan board with intake, scoping, planning, building, and review columns

Observable pipeline

Make the work concrete before it reaches the engineer.

Kodan connections screen showing product inputs feeding the workspace

Intake

Catch work from where it already appears

Slack threads, meetings, docs, repos, errors, CRM notes, and user feedback already contain engineering work. Kodan turns the useful signals into inspectable tasks.

See this workflow
Kodan task board screenshot with early solution cards in review

Routine

Let obvious tasks become early solutions

Small copy fixes, simple bugs, missing checks, cleanup, and dependency chores should arrive with a proposed solution before they steal engineering focus.

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Kodan knowledge view showing context attached to work

Scoping

Turn vague requests into scoped tasks

When work is ambiguous, Kodan gathers context, names unknowns, asks questions, creates acceptance criteria, and makes the decision legible.

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Kodan board screenshot showing visible work stages

Review

Run agent work with checks and evidence

Implementation should not be a blind diff. Kodan keeps changed files, commands, checks, costs, risks, and before/after behavior close to the task.

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Control surface

Kodan is a software factory with an autonomy level you choose.

02

Capture

Connected Sources

Capture mode

Connected Sources

Kodan watches approved inputs and turns useful signals into candidate tasks.

Product proof

Prove what happened before asking for trust.

Kodan scoping view with risks and assumptions

Scoping shows its reasoning

Risks, assumptions, and feature-bloat notes make vague work decidable before anyone starts coding.

Kodan connections view

Connections are concrete

Kodan plugs into the places work already appears: repos, docs, meetings, chat, tickets, and browser notes.

Kodan board cards showing early solution found

Obvious work gets an early solution

Small bugs and straightforward changes can arrive with a proposed fix before they become an engineer interruption.

Kodan board view with review-stage work

Checks travel with the change

Agent output should carry changed files, commands, passing checks, and enough context to review it.

Kodan agent updating a task based on user intent

Agents understand your intent and tools

Kodan can update a task, preserve the user's intent, and route the work through the connected systems already in the project.

Transparent usage

Model cost + 20%. No mystery markup.

Each task exposes what ran, what it cost, and why. Observability should include pipeline state and cost state.

Usage-based

Pay the model and runtime cost Kodan spends, plus a clear platform margin.

Enterprise

Local or private deployments, internal models, custom data controls, and security review.

See your pipeline

Find out how much engineering attention Kodan can remove.

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Experimental workflows

For teams already living in the future.

Spec-driven developmentMeeting-to-ticket workflowsBrowser notes and website post-itsProactive task suggestionsRepo health monitoringInternal model deployments