How it
works.
Your developers start the task. Their coding agents do the work. Topogy brings the team's context, expertise, and process with them.
Connect your sources. We build the understanding. Intelligence flows to every surface.
Sometimes the difference between production and slop is the setup.
Every model needs to know how your team builds: the conventions to follow, the expertise to bring in, the checks to complete. When that setup lives in someone's head, or has to be rebuilt for every task, results depend on who remembers what.
Predictable workflows for the steps that matter.
Define the context to load, the skills to apply, and the checks to complete. Give agents room to solve the task within a process your team can inspect and improve.
Connect your tools.
Connect GitHub, your ticketing system, and the coding agents your team uses. Topogy starts building an understanding of how your system fits together: services, owners, conventions, and the decisions behind them.
Start with the task.
Scope the guidance to the repository and the work being done.
Make the required steps explicit.
Specialist skills, reviews, and validation become part of the workflow, scaled to how risky the change is.
See what actually happened.
Review the work, find the gaps, and improve the workflow for the next task.
Your team's expertise.
Built into the work.
Less repeated setup. Fewer manual reminders. Shared practices your team can maintain as the tools and the work evolve.
Stop explaining the same things.
Bring repository conventions and task-relevant context into the work, so developers spend less time reconstructing what the agent needs to know.
The right skill. In the right task.
Apply domain expertise where it matters, from database design to performance, without expecting every developer to be the specialist.
Good practices. Less reminding.
Make relevant reviews and validation part of the workflow. Match the checks to what's changing, so the important steps never depend on someone remembering.
Keep what works. Retire what doesn't.
Models improve. Your codebase changes. Review how shared context, skills, and workflows are used, and update the practices your team depends on.
One set of managed workflows, in every tool your team uses.
Coding agents, pull request checks, Slack, and the web app all work from the same understanding of your system. Update it once and every tool reflects the change.
Frequently asked questions
Everything you need to know about connecting your tools and getting started.
What is a managed workflow?
A managed workflow defines when it applies and what the task needs. Trigger conditions, like changing a database migration or committing to a protected branch, decide when it kicks in. It then loads the context, applies the skills, and runs the checks that kind of task requires. Your coding agent still decides how to solve the problem.
Which coding agents does Topogy work with?
Managed workflows run in Claude Code and Codex, through a Topogy plugin. Admins can also ask Claude about their team's AI usage through the Topogy MCP server.
What tools does Topogy connect to?
GitHub, Jira, Linear, and Slack, plus the coding agents your team uses. Okta handles sign-in and team sync for larger organizations.
Do developers need to install anything?
Developers add the Topogy plugin to Claude Code or Codex. In Claude Code, an admin can also turn it on for the whole organization at once. Everything else connects through integrations.
How long does setup take?
Connecting your tools takes minutes. Usage and cost visibility starts as soon as sessions come in, and you can build your first managed workflow from there.
How does Topogy stay up to date?
Every merged change and completed agent session updates Topogy's understanding of your system, so the context agents get reflects your code as it is today.