It is a platform designed to accelerate software development by helping developers search, understand, and write code in complex codebases using AI. Sourcegraph addresses the challenges of larger developer teams and codebases, which often slow progress, by streamlining workflows and reducing cognitive overload. It enables developers to find and navigate code, make large-scale changes, and track insights across codebases of any size. The platform uses AI with reasoning capabilities to autonomously fetch and refine context, suggest code deletions and changes, and automate repetitive tasks, allowing developers to focus on innovation.
Sourcegraph offers features like inline and auto-edit to reduce distractions and maintain a creative flow state. It also allows developers to save, share, and reuse prompts to automate coding tasks, ensuring consistency and quality. The platform includes AI-powered agents that analyze pull requests, identify potential issues, and ensure code quality standards. It handles large-scale code migrations and updates with precision, creates comprehensive test suites automatically, and supports customized agents tailored to enterprise workflows.
Trusted by leading companies, including 4/6 of the top US banks, Sourcegraph is designed for flexibility, supporting cloud, on-premise, or VPC deployments. It integrates with all major code hosts and editors, leverages the latest AI models without retaining user data, and provides granular user permissions and multiple authentication options for security. Enterprises using Sourcegraph have reported significant improvements, such as 90% faster code migrations, a 20-40% increase in developer velocity, and 5x faster unit test creation.
By automating low-level, repetitive tasks, Sourcegraph empowers developers to focus on innovation, industrializing software development with AI agents and driving engineering impact for businesses.
It is an AI-powered micro agent designed to write and fix code for developers by generating code, creating tests, and iterating until all test cases pass.
It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications.
It is a GitHub-native tool designed to automate and enhance the pull request (PR) workflow by running multiple AI agents in parallel directly on your codebase.
It is an AI-powered tool designed to enhance software development productivity by automating tasks, solving bugs, and providing real-time collaboration within GitHub.
It is an AI-powered software testing platform designed to automate API and UI testing with no human intervention, enabling developers to achieve enterprise-level QA efficiency.
It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production.
It is an advanced AI platform designed to automate and optimize complex computer systems by orchestrating hundreds of AI models tailored to specific tasks, file types, and architectures.
It is a platform that replaces queues, state management, and scheduling with durable functions, enabling developers to build reliable, AI-ready step functions faster without managing infrastructure.
It is the first AI agent-powered Integrated Development Environment (IDE) designed to seamlessly integrate the work of developers and AI, creating a coding experience that feels intuitive and magical.
It is an advanced AI software engineer designed to understand high-level human instructions, break them down into actionable steps, research relevant information, and write code to achieve specific objectives.
It is an advanced AI software engineer designed to understand high-level human instructions, break them down into actionable steps, research relevant information, and write code to achieve specific objectives.
It is an AI agent called bumpgen that upgrades npm packages, specifically for TypeScript and TSX projects, while automatically making necessary code changes to address any breaking changes caused by the upgrades.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is a Chrome extension called Qodo Merge that integrates AI-powered chat and code review tools directly into GitHub to analyze pull requests, automate reviews, highlight changes, suggest improvements, and ensure code changes adhere to best practices.
It is a minimalist AI agent framework developed by Hugging Face, designed to enable developers to create and deploy powerful AI agents with minimal effort and code.
It is a repository containing the code, data, and implementation for "WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models." WebVoyager is an advanced web agent powered by Large Multimodal Models (LMMs) that can autonomously complete user instructions by interacting with real-world websites.
It is a minimalist, 100-line framework designed to enable large language models (LLMs) to program themselves, focusing on simplifying the development of LLM-based applications such as multi-agent systems, prompt chaining, and retrieval-augmented generation (RAG).
It is a financial data transformation and workflow automation platform designed to help asset managers and financial professionals analyze and derive actionable insights from complex datasets.
It is a system that integrates autonomy and intelligence within large language models (LLMs) like ChatGPT and Gemini into daily workflows, specifically tailored for chemistry.
