Repo Grokking | Zencoder – The AI Coding Agent

How it works

What is Repo Grokking™?

Repo Grokking analyzes your entire codebase to understand its structure, patterns, and logic. It creates a detailed code map powering Zencoder's contextual suggestions and tools, matched specifically to your project's architecture and conventions.

Smart indexing

Continuous Codebase Indexing

We index your full codebase and map dependencies between files and components. We also generate vector embeddings and build relationships between different parts of your codebase. This helps us recognize specific naming conventions and patterns while running incrementally as files change.

Logical and semantic processing

Deep Contextual Understanding

Zencoder processes your code's semantic relationships to understand coding conventions and the logical connections between different components. It maps those elements together, while building a detailed model of how your code actually works.

Core engine

Real-Time Assistance

Repo Grokking serves as Zencoder's foundation, powering intelligent code completion and generation, unit test generation, integrations, and even docs tools. All features use the same deep understanding of your codebase, delivering context-aware assistance matching your codebase.

Core engine

Features Using Repo Grokking

Repo Grokking is our foundational engine, powering code completion, generation, testing, documentation, and more—all with deep understanding of your specific codebase.

Coding Agent

The Coding Agent crafts multi-file changes fitting your architecture and style. It uses your repo's patterns to create new files and components, integrating with your codebase and maintaining consistency with your own coding style.

Code Completion

Get real-time suggestions based on your actual codebase, not generic patterns. Unlike standard completions, we get your project's context—suggesting parameters, function calls, and implementations matching your specific architecture and coding style.

Unit Test Generation

Creates unit tests matching your existing testing patterns or follows best practices if you're just starting. We create meaningful test scenarios, write the implementation code, and organize tests in your project's expected structure—all without manual setup.

Docstring Generation

Documents functions, classes, and methods following your codebase's existing style. Zencoder analyzes parameter usage, return values, and function behavior across your repo to generate accurate, comprehensive docstrings without disrupting your flow.

Frequently Asked Questions

: No. All processing happens locally on your machine. We only store and use hash-based vector embeddings for code generation and completion, but your actual code never leaves your environment.
: Yes, both are fully supported with broader multi-repo support coming soon. Zencoder has been used in production environments with 5M+ LOCs in both monorepo and multi-repo configurations.
: We support 80+ languages with enhanced capabilities for: C, C#, C++, Go, Java, JavaScript, Kotlin, PHP, Python, Rust, TypeScript, and more.
: Yes. We fully support repositories with multiple programming languages. When processing files or making edits via coding agent, we follow the respective standards and conventions of each language within your codebase.
: Yes. You can configure path-based exclusions for specific files or entire directories through the configuration settings.

Zencoder Understands your Entire Codebase