Bazzy is the AI code review assistant that provides context-aware suggestions by understanding complex, multi-repo, multi-language code bases. Streamline your code reviews with faster insights, fewer errors, and seamless collaboration.
Explore how ordering files and understanding code grammar can enhance AI-assisted development.
Why GitHub's outdated code review experience is frustrating developers and stifling progress. Explore the key flaws in its workflow and what needs to change for modern development.
Enhancing OpenTelemetry's capabilities to pinpoint specific code elements responsible for system behaviors.
Learn how integrating telemetry, OpenTelemetry, and AI-driven insights can enhance code reviews and optimize development workflows. Explore how Baz is leading this evolution in software development practices.
AI code assistants like Copilot promise efficiency but fall short in multi-repo, multi-language projects due to context gaps. Learn how tracing and observability can bridge these gaps, improving code reviews and productivity.
Discover Baz, an AI-driven source control tool designed to simplify code reviews and empower developers. Experience context-rich insights, streamlined collaboration, and smarter code management with Baz.
Copilot vs. Code Quality: Are Current Metrics Enough to Define AI Success?
A streamlined approach to code review—focused on clarity, precision, and outcomes—transforms the process into a faster, more effective workflow that drives stable releases.
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