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Visdom Machine CI

Continuous Integration
at Agent Speed

Visdom Machine CI accelerates builds and tests to keep pace with continuous agent-driven development.

The gap

AI agents move at machine speed. Most CI systems do not.

AI agents generate and validate changes continuously, but most CI pipelines were designed for human development workflows. Slow builds, large monorepos, and delayed feedback quickly become bottlenecks, limiting agent iteration speed and increasing infrastructure costs.

How it works

Optimizing CI for autonomous software delivery

Visdom Machine CI applies build acceleration techniques developed for large-scale engineering organizations. Using Bazel, caching, selective test execution, monorepo optimization, and CI orchestration, it reduces feedback cycles and keeps validation aligned with agent execution speed.

−88%

build time reduction

Global logistics, Scala monorepo, sbt → Bazel. 40–60 min → 5 min.

−43%

PR merge time

Investment bank, Scala monorepo, managed IntelliJ IDEA.

~50x/hr

agent iteration speed

The cadence today’s pipelines need to keep up with.

Based on VirtusLab client data under NDA.

The goal is to make continuous integration operate at machine speed so agents spend less time waiting and more time delivering working software.

Key features

Build acceleration, proven at enterprise scale

Build Acceleration

Reduce build times through caching, incremental execution, and optimized dependency graphs.

Selective Test Execution

Run only the tests affected by a change instead of validating the entire system.

Monorepo Optimization

Scale CI workflows across large repositories while minimizing unnecessary work.

Bazel-Based Workflows

Leverage proven build-system techniques designed for large engineering organizations.

Faster Feedback Cycles

Shorten validation loops so agents can iterate continuously.

Agent-Speed CI

Align build and test execution with the pace of autonomous software delivery.

Why it matters

Agents spend less time waiting and more time delivering working software.

  • Faster Build Times
  • Faster PR Validation
  • Higher Agent Iteration Speed
  • Reduced CI Bottlenecks
  • Lower Infrastructure Costs
  • Continuous Integration at Agent Speed

Technical Reference

Explore detailed technical documentation, implementation guidelines, and reference materials.

Read the documentation