Develocity
About Develocity
Develocity provides a context engineering layer for AI-driven software delivery. The platform is built on universal toolchain and artifact observability. It captures data from inside build tools such as Maven, Gradle, npm, Python, Bazel, sbt, and Docker. It encodes build and test expertise as agent skills used by AI agents. The governance engine applies end-to-end lineage and policy to AI-generated software, while agents and efficiency engines manage build and test volume. It is used by organizations across industries and sizes.
Products
- Build Scan: A record produced from every build.
- Observability Platform: Ingests and records every build, test, and pipeline signal and serves live and historical views to the rest of the platform.
- Flaky Tests Detection: Finds and quarantines flaky tests so they stop failing builds for non-real reasons.
- Failure Analytics: Aggregates build and test failures across the organization to show where and why pipelines break.
- MCP Servers: Exposes build and test data to AI agents over MCP so assistants can query it directly.
- Predictive Test Selection: Runs only the tests a change can actually affect and skips the rest.
Used for
- Detecting and quarantining flaky tests
- Aggregating build and test failures by root cause
- Querying build and test data through AI agents
- Caching build and test results across teams
- Reconstructing a verifiable history of a build or artifact for auditing
Who it is for
- Built for platform engineering organizations.
- Built for software engineering organizations.
- Built for security organizations.
- Used by organizations of all sizes and industries.
From Develocity's own website, read 2026-10-23. How we build listings.
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