Your coding agents are making structural decisions faster than you can review them.
Prelatent measures architectural drift in AI-assisted codebases and gives you the scan, the language, and the guardrails to govern it, without needing to be in the code daily.
You enabled agent adoption to move faster. The new failure mode is architecture nobody explicitly designed, and nobody on the team can name yet.
It still ships. Tests still pass. Dashboards still look green. Your team reports velocity is up. But underneath, structural load can concentrate into a shrinking number of modules, and confidence in the codebase is quietly falling.
Linters catch bugs. Static analysis catches vulnerabilities. Code review catches local mistakes. None of them are built to govern structural drift inside the agent loop.
Architectural failure does not begin when delivery metrics collapse.
It begins earlier, when structural load concentrates into fewer and fewer modules.
Prelatent's Architectural Coherence Index (ACI) measures this drift directly from the dependency graph.
Are our coding agents making the system harder to evolve?
ACI is designed to answer the question you feel in board meetings and 1:1s before anyone can prove it on a slide.
ACI detects architectural drift, converts the finding into enforceable governance rules, and proves whether the intervention cooled the system.
ACI scans the dependency graph and produces a structural fitness report: hub concentration maps, modularity analysis, cycle detection, temporal drift velocity, and boundary erosion signals.
The output is a forensic brief, not a dashboard.
Each finding converts to governance rules your agents can follow: CLAUDE.md instructions, MCP server constraints, Cursor rules, pre-merge CI gates, and architecture review triggers.
The rules live where the agents work, not in a portal.
ACI reruns after intervention to measure whether the system cooled. Before-and-after drift metrics, cooling-loop validation, and longitudinal trajectory tracking close the loop.
Between diagnosis and governance.
Run ACI through a CLI or GitHub-connected workflow. ACI builds a dependency graph and computes structural coherence metrics.
ACI identifies overloaded modules carrying disproportionate architectural load.
ACI recommends enforceable constraints installable into agent instructions, MCP configurations, Cursor rules, or CI gates.
The rules operate at agent execution cadence, not human review cadence.
ACI reruns after intervention and shows whether structural risk moved in the right direction.
Prelatent is for CEOs and technical co-founders at companies where agent adoption just spiked and the architecture is moving faster than anyone can audit. If you shipped velocity and are not sure what you shipped it into, this is for you.
We turned on agents and shipped more, but I don't know what we're building into the system.
My engineer says it's fine. My gut says we're one bad quarter away from a rewrite.
I need someone to tell me what's actually happening structurally, not another tool for the team to ignore.
Finds existing bugs, not structural architectural drift.
Helps human understanding, not automated governance.
Generate code faster, not more coherently.
Govern drift inside the agent loop with measurement.
We are recruiting design partners who are already using coding agents seriously and want to understand whether their architecture is drifting, including companies where technical leadership is still scaling to meet agent adoption. You do not need a CTO in the room to apply.
The ACI scan is a free public artifact: you arrive pre-sold on the problem before we talk.
Design partners get the private scan, the structural brief, and a path to ongoing governance in one conversation.
The first ten shape the methodology. The next hundred buy it.
Get the ACI scan, apply as a design partner