The work pushes back.
The agent hits a tradeoff it shouldn't settle alone — and surfaces it, instead of quietly deciding.
AI writes code. Humans write software.
Git for code. Igni for intent.
The code was never the hard part. Deciding what stays true when it changes is.
So you feed the agents more context, or you trust them to run. Either way, when the work pushes back there's nowhere to shape the call — it gets made without you.
This is not directing software. It is approving code after the call has already been made.
Igni is the intent layer for software teams.
Decisions, patterns, and constraints stay connected to code, visible to agents, and shaped with humans as reality changes.
Not better context. Not blind trust. Infrastructure for intent.
The loop in motion
The agent surfaces a tension, humans and agents shape the call, and the graph makes that call hold for future work.
The agent hits a tradeoff it shouldn't settle alone — and surfaces it, instead of quietly deciding.
Human judgment and agent reasoning meet on the same live surface — not a diff handed back hours later.
Not a note, transcript, or memory — graph-connected intent the next implementation starts from.
Want the full argument?
Read the essay →What makes it work
Intent needs all three: durable structure, feedback from reality, and human judgment in the work — authoring the calls, not auditing them.
Structure agents can reason across.
Decisions, patterns, and constraints stay connected from strategy to code through typed relationships with force.
Without it: intent is scattered context.
The bridge between intent and code.
Intent from the graph shapes what agents build in your codebase. Code realities flow back to keep intent fresh and calls grounded.
Without it: intent goes stale as reality changes.
Human judgment at agent speed.
Humans and agents work the same live surface, turning conversation into structure. Agents draft cross-cutting proposals; you merge.
Without it: humans find out too late.
Early access
Onboarding select teams now. Point Igni at your codebase.
Read the essay →