Feature flags, frequently used for gradual rollouts and feature experimentation, often leave behind unnecessary code once the experiment concludes. This increases complexity, bloats the source and binary, and can lead to bugs and misconfigurations. AutoClean leverages our Piranha code transformation toolset to automatically eliminate these stale feature flags from production and test code.

NullAway for Java and NilAway for Go are static analysis tools designed to prevent null/nil-related errors. NullAway uses @Nullable annotations to ensure pointers are not null when dereferenced, while NilAway employs an inference engine to catch potential nil panics at compile time without requiring manual annotations. Together, these tools enhance code safety by addressing null/nil-related issues proactively.

Modern microservice architectures bring scalability and flexibility but often introduce challenges in diagnosing latency and errors. CRISP is a tool that helps engineers analyze performance issues by identifying critical paths and visualizing bottlenecks using differential flamegraphs. It provides actionable insights into latency and error propagation, assisting teams in improving system reliability and efficiency.

Dr.Fix is a project designed to automatically fix bugs, enhancing both software quality and developer productivity. Dr.Fix introduces a novel hybrid approach that combines program analysis with generative AI, providing robust solutions to real-world problems. Currently, Dr.Fix streamlines various developer workflows: it repairs concurrency issues in Go, optimizes Go services, and fixes flaky tests.

Last Diff Analyzer is a multi-language, platform-agnostic tool for automatically approving behavior-preserving code changes. By integrating with code hosting platforms, it streamlines workflows by approving updates and bypassing costly CI tests. With support for Golang and Java, its extensible framework unifies language structures while allowing for easy expansion to Kotlin, Swift, TypeScript and more.