Using AI Context for Development: * New developers: Read CONFIGURATION.md + PYTHON_LIBRARIES_CORE.md for project overview * Building assistants: - Start with ASSISTANTS_OVERVIEW.md for common patterns - Use specific assistant files (e.g., ASSISTANT_PROJECT.md) as implementation templates * Working on specific assistants: Load the relevant ASSISTANT_*.md file for focused context * Library development: Choose appropriate PYTHON_LIBRARIES_*.md file by functional area * Frontend work: Study component patterns in WORKBENCH_FRONTEND.md * API development: Follow service patterns from WORKBENCH_SERVICE.md * MCP servers: Use existing servers…
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This document provides context to understand the LangChain Python project and assist with development. This is a Python monorepo with multiple independently versioned packages that use uv. This monorepo uses uv for dependency management. Local development uses editable installs: [tool.uv.sources] Each package in libs/ has its own pyproject.toml and uv.lock. Suggest PR titles that follow Conventional Commits format. Refer to .github/workflows/pr_lint for allowed types and scopes. CRITICAL: Always attempt to preserve function signatures, argument positions, and names for exported/public methods.…
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Official MongoDB Kafka Connector — a Kafka Connect plugin that ships both a sink connector (Kafka → MongoDB) and a source connector (MongoDB change streams → Kafka). Published as org.mongodb.kafka:mongo-kafka-connect on Maven Central; also packaged as a Confluent Hub archive. Gradle wrapper, Kotlin DSL (build.gradle.kts). Java 8 bytecode (options.release = 8) compiled by JDK 17 toolchain — do not use Java 9+ APIs in src/main. Integration tests require a running MongoDB replica set (source connector needs change streams). The URI…
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Skills for AI coding assistants (Claude Code, etc.) that provide Databricks-specific guidance. Hierarchy: databricks-core (core) → databricks-apps (product) → databricks-apps-* (niche) Create subskills that reference parent: See CONTRIBUTING.md for the…
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compose-ui-test-server is a Kotlin library that enables AI coding agents and automation tools to control Compose Desktop applications at runtime via HTTP. When enabled, an embedded Ktor server exposes REST…
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This document provides context to understand the LangChain Python project and assist with development. This is a monorepo containing LangChain and LangGraph integrations for AWS services. The repository contains two main packages: The package is organized by AWS service integration type: Amazon Bedrock AgentCore Code Interpreter sandbox backend for Deep Agents. Lives in libs/agentcore-codeinterpreter/. This monorepo uses uv for dependency management. Local development uses editable installs: [tool.uv.sources] Each package in libs/ has its own pyproject.toml and uv.lock. Suggest PR titles…
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NVIDIA Resiliency Extension (NVRx) is a PyTorch distributed training resiliency library. It provides fault tolerance (in-job restart without SLURM node reallocation), async/local checkpointing, and straggler detection. The build process (build.py)…
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Context for contributors (human or AI) on how this SDK is put together, plus the things reviews most often come back to. Setup instructions live in CONTRIBUTING.md.
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You are working inside the Claude Code Migration Kit, or inside a repository that has adopted it. Read this before acting on any migration request. A six-step process for migrating…
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This repo has companion Claude Code skills in elastic/integration-skills that cover building, reviewing, and maintaining Elastic integration packages. If the skills aren't already installed, recommend the contributor run:
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Run bun run build:hooks after editing any .mts file. A pre-commit hook auto-compiles when .mts files are staged. Run bun run build:from-skills after editing any skill referenced by a .md.tmpl…
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A file Claude Code reads at the start of every session. It holds the commands, conventions and warnings the agent needs for this project.
Where does it go?
At the repository root. Claude Code also reads CLAUDE.md files in subdirectories when it works there.
What should it contain?
Build and test commands, the project's layout, conventions that aren't obvious from the code, and mistakes to avoid. Short files tend to work better than long ones.
CLAUDE.md or AGENTS.md?
Claude Code reads CLAUDE.md; most other agents read AGENTS.md. Many projects keep one and point the other at it.
MicrosoftCLAUDE.md
