Hermetiq Blog

We Built Hermetiq to Solve the Problem Created by the AI Coding Boom

AI coding tools accelerated code generation while making build diagnosis and completion the next engineering bottleneck.

Compare hosted and self-managed Bazel remote-cache and remote-execution platforms across operations, observability, and control.

Learn why one aggregate percentage hides action importance, workload differences, and the causes behind cache misses.

Deploy Buildbarn on Kubernetes with scheduler, storage, workers, routing, and production monitoring in mind.

A technical guide to the BEP event graph, protobuf transports, upload lifecycle, ingestion, and the evidence BEP does—and does not—contain.

Compare build systems across language support, remote execution, caching, ecosystem, and operating model.

Improve slow Bazel builds with caching, remote execution, profiling, critical-path analysis, and build-graph hygiene.

Understand Bazel remote execution architecture, setup, providers, configuration, failure modes, and monitoring.

Use execution logs and comparable actions to isolate changed inputs, commands, environments, tools, and platforms.

Connect build, cache, remote-action, and infrastructure evidence to understand build cost and wasted execution.

A concise introduction to Bazel's event graph for commands, targets, tests, outcomes, metadata, and aggregate build metrics.

Diagnose environment leakage, toolchain drift, stamping, CI divergence, dependency churn, and cache eviction.

Learn how Model Context Protocol connects AI assistants to Bazel build data and engineering workflows.

Understand why declared inputs and reproducible environments are the foundation of reliable Bazel caching and execution.

Apply production-monitoring rigor to Bazel builds using build, target, test, cache, profile, and remote-execution evidence.