Deep dives into modern software engineering, architecture decisions, and technical innovations from our team
A decoder that reads liblz4's own blocks faster than liblz4 on 20 of 27 measured shapes, plus an optional native format that is 31% smaller. Adoption starts with one changed function call, benchmarked on four processors with every loss published.
One master, two replicas, three Sentinels and a correct quorum — inside a JUnit test, from a single annotation. Layer 3 of the Macstab Chaos Stack makes the failover your cache code has never survived a deterministic assertion in CI.
A byte-level investigation for detection engineers: why inserting a NOP leaves a YARA hex rule intact, while a single equivalent x86-64 encoding change defeats it — reproduced with Aether 1.0.0 as the reference implementation.
A static test sample cannot prove that a detection architecture will hold when code takes a different—but equivalent—form. Aether gives security teams a governed lab framework to generate controlled x86-64 variants, prove the variants preserve behaviour, and expose detection blind spots before attackers do.
A Java agent that instruments 62 JDK call sites using ByteBuddy. Per-test session isolation, Spring Boot 3/4 auto-wiring, and near-zero JIT overhead. Chaos engineering that runs inline in your JUnit test suite and gates the build.
448 L1 syscall primitives. 92 L2 fault composites. 64 L3 production incident scenarios encoded as single annotations. A JUnit 5 extension framework that turns post-mortems into CI gates for Spring Boot, Quarkus, and Micronaut.
Unit tests, integration tests, container tests — and now chaos tests. We built a three-layer chaos engineering stack in C99, Java, and JUnit 5 that turns production incidents into reproducible CI gates.
Six fault domains, zero application code changes, any ELF binary. A C99 chaos library that intercepts libc calls at the dynamic linker level — delivering kernel-real faults to Java, Go, Python, Node.js, and everything in between.
A hands-on look at microservices architecture - the patterns that actually work, the pitfalls that bit us, and why sometimes a monolith isn't that bad after all.
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