Mendix
The leading low-code platform for building, deploying, and evolving enterprise-grade AI-powered applications.
The universal code intelligence platform for understanding, fixing, and automating code at scale.
Sourcegraph has evolved into the definitive Code Intelligence Platform for the 2026 enterprise landscape. Unlike standard LLM assistants, Sourcegraph utilizes a proprietary Code Graph and the SCIP (Symbolic Code Intelligence Protocol) to create a high-fidelity map of entire codebases, enabling precise navigation and context-aware automation. Its flagship AI agent, Cody, leverages this graph to provide answers grounded in the developer's specific cross-repository architecture. The platform addresses the 'big code' problem by indexing petabytes of data across disparate VCS providers like GitHub, GitLab, and Perforce. As of 2026, Sourcegraph’s positioning focuses on the 'Total Code Intelligence' framework, merging traditional search with generative AI to facilitate large-scale refactors via Batch Changes. It operates as a bridge between legacy monolithic architectures and modern microservices, providing a single source of truth for code discovery. The technical architecture supports self-hosted, air-gapped deployments for high-security environments and cloud-native instances for rapid scaling, ensuring that its Retrieval-Augmented Generation (RAG) capabilities remain compliant with evolving global data sovereignty laws.
Programmatically change code across hundreds of repositories using a declarative YAML specification to run server-side scripts.
The leading low-code platform for building, deploying, and evolving enterprise-grade AI-powered applications.
The high-performance low-code platform for building mission-critical enterprise applications with integrated AI-driven orchestration.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A high-performance protocol for indexing source code to provide fast, precise cross-repo code navigation.
Turns code into data by tracking historical trends in the codebase via specialized SQL-like queries.
Granular controls that allow admins to specify which files are used as context for the AI agent.
A real-time monitoring engine that alerts developers when specific code patterns or vulnerabilities are committed.
An RAG implementation that pulls context from the entire organization's library rather than just the active file.
A fully containerized version of the platform designed to run in environments without internet access.
Updating a deprecated API call across 500 microservices manually is error-prone.
Registry Updated:2/7/2026
Publish pull requests to all 500 repos simultaneously.
New hires take weeks to understand complex, interconnected service architectures.
A new Zero-Day vulnerability is found in a specific version of a library.