Korbit
The AI Software Engineer for automated code reviews and proactive quality assurance.
AI-Driven Autonomous Code Review and Technical Debt Management for High-Velocity Engineering Teams.
CodeAdvisor represents the 2026 frontier of Autonomous Quality Engineering (AQE). Built on a proprietary Large Language Model (LLM) fine-tuned specifically on billions of lines of telemetry-mapped source code, CodeAdvisor goes beyond simple pattern matching to understand intent-based logic. It operates as an invisible team lead, performing deep semantic analysis on Pull Requests (PRs) to identify logic flaws, security vulnerabilities, and performance bottlenecks before code reaches staging. The technical architecture leverages a graph-based representation of codebases, allowing it to trace variable lineage across microservices and predict the impact of local changes on global system stability. Positioned for the 2026 enterprise market, it integrates directly into the CI/CD pipeline, offering real-time mentorship to junior developers while enforcing rigorous architectural standards for senior architects. Its ability to generate 'Context-Aware Refactoring Patches' distinguishes it from legacy linters, as it provides ready-to-merge fixes that adhere to the specific project's coding style and dependency constraints.
Uses deep-learning graph neural networks to trace data flow across multiple files and services to find logic errors unreachable by AST-based linters.
The AI Software Engineer for automated code reviews and proactive quality assurance.
Orchestrate multi-agent autonomous engineering workflows with high-fidelity context injection.
Architect-level AI code generation and autonomous refactoring for mission-critical systems.
Architecting enterprise-grade codebases from natural language with context-aware RAG synchronization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Enforces high-level design patterns (e.g., Clean Architecture, Hexagonal) by analyzing structural dependencies.
Assigns a dollar value and 'Hours-to-Fix' metric to code smells based on historical team velocity.
Analyzes the complexity of a PR and assigns a risk score based on the historical stability of the modified files.
Understands API contracts and predicts how a change in one microservice will affect downstream consumers.
Generates complete PRs to migrate codebases from legacy frameworks (e.g., React 16 to 19).
Automatically documents internal functions and provides a Q&A interface for onboarding new devs.
Senior engineers spending 50% of their time reviewing basic syntax and style errors in PRs.
Registry Updated:2/7/2026
Manually refactoring 100k lines of code from Python 2 to Python 3 or outdated libraries.
A new CVE is announced and the team needs to find all vulnerable instances across 50 repos.