4 repository-uri
Automated assistants that identify and suggest fixes for configuration and logic errors.
Distinguishing note: Focuses on UI component property analysis rather than general code debugging.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · AI Debugging Tools. Refine with filters or upvote what's useful.
Aider is a terminal-based AI coding assistant and pair programmer that uses large language models to write, edit, and refactor source code across multiple files and programming languages. It functions as a command line interface for automating programming tasks and managing codebase modifications. The tool distinguishes itself by creating structural maps of entire codebases to provide language models with the necessary context for navigating and modifying large repositories. It further expands input capabilities through a speech-to-text pipeline for voice-driven development and multi-modal in
Automatically identifies and suggests fixes for logic errors by running test suites and linters.
ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr
Analyzes component property problems and suggests specific fixes to resolve configuration errors and restore expected functionality within the user interface.
Devika is an autonomous AI software engineering system designed to plan, write, and debug code from high-level natural language instructions. It functions as an agentic software engineer that decomposes complex objectives into actionable coding steps for autonomous execution. The system integrates cloud-based and self-hosted large language models through a provider-agnostic layer, allowing for multi-model reasoning and code completion. It distinguishes itself by combining these models with a sandboxed execution environment for running code across different operating systems and a web-browsing
Analyzes codebases to identify root causes of errors and automatically implements technical fixes.
Vibe-coding is an agentic workflow manager and AI coding orchestrator designed to guide autonomous agents through software development. It serves as a development framework that organizes the process of building software using large language models through structured planning, iterative validation, and a defined cycle of implementation. The project distinguishes itself through a focused context management system and project memory bank, which uses dedicated files to maintain consistent architectural context across sessions. It employs constraint-based guidance to enforce project-specific codi
Provides automated assistants that resolve coding errors by analyzing logs and codebase snapshots to identify regressions.