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Agentic CI/CD: Multi-Agent PR Reviews with CrewAI and GitHub Actions
Learn how to build a multi-agent orchestration system using CrewAI and GitHub Actions to automate complex code reviews and intelligent dependency resolution.
Real-Time Context for LLMs: Pipelines with Bytewax and Redpanda
Learn how to build low-latency feature pipelines using Bytewax and Redpanda to provide LLMs with real-time context for smarter tool-calling workflows.
Mastering MCP: Building Secure AI Agents with TypeScript
Learn how to bridge the gap between LLMs and local data using Anthropic’s Model Context Protocol (MCP) and TypeScript to build secure, tool-augmented agents.
Building Extensible SaaS with WebAssembly: A Guide to Extism and Go
Learn how to build secure, high-performance plugin systems for SaaS using WebAssembly, Go, and Extism to enable multi-language user code execution.
Polyglot Microservices with WASI 0.2 and the Component Model
Discover how WASI 0.2 and the WebAssembly Component Model enable secure, language-agnostic microservices with near-native performance and capability-based security.
Building Self-Healing AI: LangGraph and PydanticAI Workflows
Learn how to build resilient multi-agent systems using LangGraph and PydanticAI, focusing on automated tool-validation loops and self-correction.
Type-Safe Cross-Language Interop with Wasm Components and Spin
Discover how WASI 0.2 and the Wasm Component Model enable secure, language-agnostic plugin architectures for modern cloud-native applications.
Building Durable AI Agents with Temporal and LangGraph
Learn how to combine LangGraph's agentic reasoning with Temporal's durable execution to build fault-tolerant, long-running AI workflows that survive crashes and network failures.
Building Custom MCP Servers: Connect AI Agents to Your Dev Stack
Learn how to implement the Model Context Protocol (MCP) to bridge the gap between AI models and your internal development tools, databases, and APIs.