Changes are outpacing review.
Coding agents increase change volume, but senior architectural review does not scale with it. Teams either slow down or accept more structural risk.
Architecture controls for engineering teams
AI-assisted teams can produce more changes than senior engineers can inspect with equal care. Tests still pass while new dependencies cross boundaries, changes spread across repositories, and architecture rules depend on someone noticing.
Enola puts those structural checks into the agent loop and CI. We work with your team to make them accurate against your codebase and measure whether they reduce architectural review load.
Paid, fixed-scope evaluation. Real repositories. Success criteria agreed before we start.
Where the pressure appears
Enola becomes valuable when architectural correctness depends on scarce senior engineering attention.
Coding agents increase change volume, but senior architectural review does not scale with it. Teams either slow down or accept more structural risk.
Boundaries, ownership rules, and application-level controls live in documents and review comments. Senior engineers repeat the same guidance, and enforcement varies between reviewers and teams.
A migration or API change crosses repositories, services, and languages. Engineers spend days tracing consumers and coordinating manually—or discover a missed dependency during delivery.
The first engagement
A paid, fixed-scope evaluation puts Enola into the real engineering workflow and produces a clear rollout decision—not a demo and not an open-ended trial.
Ways to engage
Architecture and policy as code
We work with architecture, platform, security, and compliance engineering to identify controls that can be measured from code, express them as Enola constraints, establish evidence and coverage, and introduce enforcement safely.
Strategic architecture engagement
We model the relevant repositories and relationships, close the coverage gaps that matter, and give the initiative dependable change-impact evidence before and during the work.
Ongoing work is scoped only where the problem genuinely recurs—new teams, repositories, policies, languages, acquisitions, or agent workflows.
Why work with us
Enola cannot infer your internal framework, repository topology, ownership model, rollout policy, or which structural rules matter to the business. Doing that correctly consumes the same senior engineering capacity the organization is trying to protect.
Establish repository and service boundaries, cross-repository links, and the coverage needed to trust the graph.
Turn repeat architecture decisions and application-level controls into measurable declarations.
Choose advisory, ratchet, or strict enforcement without making existing debt everyone’s problem.
Scope internal-framework, extractor, or linking work as part of the implementation rather than leaving a private patch behind.
Put the same evidence in front of coding agents, developers, reviewers, and CI at the point each can act.
Measure the outcome that justified the engagement instead of counting installations or findings.
Open source by design
The complete engine remains Apache 2.0: language extractors, architecture graph, MCP tools, explainers, baselines, constraints, cross-repository analysis, CLI, CI, and dashboard. Run it yourself for as long as you want.
An engagement pays for implementation and an accountable outcome—not permission to keep using the software.
Engagement fit
Security and deployment
There is no hosted ingestion service or account to operate.
Enola reads local files and writes snapshots to a local directory you configure.
The graph, findings, constraints, and change verdict remain on the machine that produced them.
No usage counters, analytics, crash reporting, or background upload.
A static binary for Linux, macOS, and Windows. No database or service to operate.
A scoped engineering outcome. We configure Enola against your actual system, model the relevant boundaries, implement the constraints and workflow integration, close agreed coverage gaps, and measure the result. You are not paying to unlock the software.
No. It is a paid, fixed-scope engagement because it produces a working implementation and evidence on your codebase. You can evaluate the software itself independently with the open-source build before contacting us.
No. Enola runs locally. Source code, snapshots, the architecture graph, constraints, and findings remain inside your infrastructure, with no telemetry or hosted ingestion step.
No. Enola reports the change over a baseline, and enforcement is explicit. A rule can begin as advisory, prevent only new violations through ratcheting, or be strict where the organization requires it.
No. Tests verify behaviour, security tools inspect other classes of risk, and reviewers judge intent. Enola measures architecture, change impact, and application-level structural controls that can be represented in its graph.
You can operate the implementation yourself. Ongoing work is proposed only when the environment creates recurring needs, such as new teams, repositories, policies, languages, acquisitions, or agent workflows.
Start with the problem
Tell us what change, boundary, or rollout you need to make safer; which repositories and teams it affects; and how you would know the engagement worked. We will tell you whether Enola is relevant and, if it is, propose an evaluation scope.