Develocity Agents

Autonomous agents that keep your builds fast, green, and secure — then protect them from sliding back.

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The Build Caching Optimizer's run report — 3 issues found and fixed, warm rebuild 1m10s to 12.4s, cache hit rate 63% to 100% — with a before/after table and findings.

Feature overview

Develocity Agents

Develocity Agents is a suite of AI agents that keep your builds fast, green, and secure. Every agent runs the same loop: identify what to fix and where, fix it as a verified change, then observe the result across every project. Identifying what to fix is the hard part, grounded in data no competitor holds — and the encoded expertise to act on it. The Build Caching Optimizer diagnoses and remediates cache misses; the OSS Asset Manager governs the lifecycle of your open-source and first-party dependencies; agents for build performance, build failures, and flaky tests follow. Each reasons against structured Develocity data — Build Scan telemetry, Policy Scan results, and Provenance — through Model Context Protocol (MCP) servers, citing the evidence behind every diagnosis. It is the agent tier of Develocity's Context Engineering layer.

Works great with

Mcp Servers

Identify, fix, observe — the loop behind every agent

Identify — the hard part, and Develocity's differentiator: find which projects to fix first, then root-cause each from structured Build Scan and Policy Scan data.
Fix — the agent turns the diagnosis into a change, applies it the way that fits — a pull request or a change-control hand-off — and confirms it worked.
Observe — understand the agent's adoption and impact across the company over time, make the value it returns visible.

The Build Caching Optimizer's phased run plan, Prerequisites through Report & PR, showing the identify, fix, observe loop as a live task list.

Three categories of build health, each with specialist agents

Fast builds — the Build Caching Optimizer finds why a cacheable task missed the cache and proposes minimum-change PRs, and the Build Performance Optimizer tunes parallelism and memory allocation.
RoadmapSecure builds — the OSS Asset Manager inventories your open-source and first-party dependencies and re-checks them as a query when a CVE (Common Vulnerabilities and Exposures) lands after admission.
RoadmapGreen builds — the Build Failure Handler root-causes failures against your signature history, and the Flaky-Test Diagnoser identifies, diagnoses, and quarantines or repairs a flaky test end-to-end.
Every agent is toolchain-agnostic and installs once — so covering fast, green, and secure builds is a single platform-team decision, not a separate point tool adopted for each.

The Build Caching Optimizer, the fast-builds specialist agent, diagnosing Javadoc and ktlint cache misses into root causes via the Develocity MCP server.

Governance

Fix under control — govern every change the agents make, and the dependencies underneath

The OSS Asset Manager builds its inventory over Provenance and runs your Policy Scan policies against it continuously, not just at the build gate.
RoadmapWhen a CVE lands after admission, a query over the inventory flags every affected build — first-party included — without re-scanning a binary, then files a change-control ticket to rebuild.
RoadmapApprove, override, or audit any autonomous action and gate it by a confidence threshold — human-on-the-loop control sized to the volume of change agents produce.
Runs on the AI agents you already use — such as Claude and Codex — and deploys on-premises or in your private cloud, so data never leaves your infrastructure.

The Build Caching Optimizer's fix opened as a GitHub pull request for human review before merge.

Observability

Observe the impact — what each agent did, what it saved, and where it hasn't run

Every agent run is tagged in the Build Scan it touches — what triggered it, what it changed — traceable in the same record your builds already emit.
RoadmapRoll each agent's impact up across the organization — the CI time recovered against the tokens spent — so engineering leaders see the return in Develocity Analytics.
RoadmapSee which projects have adopted the agents and which haven't, so rollout is driven deliberately rather than left to each team.