Agent writes. CI fails.
AI agents submit PRs with toolchain mismatches, hermeticity violations, and cache-busting inputs. Your engineers spend hours spelunking logs to find why.
Removing the bottleneck
in AI build
infrastructure
Hermetiq is becoming the autonomous build-repair layer for AI-generated code.
Hermetiq
01Agent PR
Agent PR lands.
02Diagnose
Map failures to root cause.
03Fix
Prescribe the fix.
04Green CI
Verify the build passes.
For build engineers
Explore Hermetiq for Bazel→Using Bazel or Buildbarn?
Diagnose failed actions, explain cache misses, and separate queueing from execution bottlenecks with evidence from your own builds.
Scroll to understand the problem
The Problem
AI coding agents create a new build failure mode
Agents generate code faster than your CI can validate it. They introduce non-deterministic inputs, toolchain drift, cache-busting environment changes — failures that traditional CI tools were never designed to catch or diagnose.
Logs tell you what broke.
Not why.
Build logs show the failure. They don't show the root cause — the environment drift three commits ago that made this build non-deterministic.
Fixing requires deep expertise
Bazel, remote execution, cache internals — the knowledge lives in a handful of senior engineers.
The Solution
From failed build to root cause — in seconds
Hermetiq turns Bazel telemetry, cache metrics, and CI signals into structured diagnosis today, and is turning that foundation into an automated self-healing loop.
Agent PR lands
More code enters CI than ever before. AI agents submit across branches, teams, and repositories simultaneously.
Diagnose
Hermetiq maps failures to root cause — action key drift, toolchain mismatch, environment pollution, queue saturation.
Fix
EmergingA precise change recommendation — the .bazelrc flag, the rule parameter, the toolchain pin that resolves it.
Green CI
EmergingBuild passes. Fix is verified. Before anyone on your team even opened the failure email.
What We Observe
Build infrastructure has a visibility gap
Your CI generates telemetry constantly — build graphs, cache keys, remote execution traces, action timings. Hermetiq ingests it all and makes it queryable by your AI coding agents via MCP.
Failing Action
Trace the exact target, test, action, input, or environment drift that knocked CI out of the green path.
Cache Miss
Compare action keys, command lines, declared inputs, platforms, and cache behavior without spelunking logs.
Remote Execution
Separate queue wait, worker saturation, upload/download time, execution time, and scheduler issues.
AI Agent Context
Expose build context over MCP so coding agents can inspect failures, explain causes, and act with evidence.
Build Health
Track before-and-after build health across branches, teams, time windows, and repeated agent changes.
Fix Verification
Confirm the build passes after the change — automatically, before merge, with full regression detection.
We built Hermetiq for the teams shipping AI-generated code at scale. When agents flood CI with unfamiliar failures, Hermetiq turns the build system into a source of answers.
Demo
See It in Action
Every build to green.
Every agent to autonomy.
Hermetiq is becoming the intelligence layer between your AI coding agents and a reliable build system. Every failure becomes structured context your agents can reason over, act on, and learn from.
MCP
Claude Code, Codex, and any MCP-compatible agent can query your build history, inspect failures, and act with evidence.
Bazel-native
Built for the build system your infrastructure team already runs. No new agents to deploy, no new pipelines to configure.
Cloud or self-hosted
Deploy Hermetiq your way. Managed cloud for teams moving fast. Self-hosted for enterprises with compliance requirements.
Create an account to get started, or talk with us about your build infrastructure.