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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.
Mastering Deterministic RAG: Self-Correcting Workflows with LangGraph
Build production-grade RAG pipelines using LangGraph to implement state-machine control, self-correction loops, and human-in-the-loop verification.