Search: “agentic ai” Category: Code and Tech — 3 articles.
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3 articles in Code and Tech · matching “agentic ai”
Agentic AI is revolutionizing software development by automating complex, multi-step tasks. Discover how these intelligent tools enhance efficiency while emphasizing the indispensable role of human oversight in ensuring quality and ethical outcomes.
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Explore how agentic AI is transforming software development by autonomously writing, testing, and shipping code, leading to more efficient and robust build pipelines. Discover the impact and future of AI agents in your development workflow.
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Here is a quick breakdown of what the article covers: * **The Shift:** Traditional RAG follows a rigid, linear pipeline (`Retrieve -> Generate`). **Agentic RAG** introduces dynamic, self-correcting loops using the LLM as a reasoning engine within a state machine. * **Why LangGraph:** Unlike standard DAG (Directed Acyclic Graph) pipelines, LangGraph supports **cyclic workflows** (loops), enabling self-evaluation, error handling, and tool re-invocations. * **Core Architecture:** Built around three elements: * **State:** A shared dictionary (`AgentState`) tracking history and variables across steps. * **Nodes:** Python functions that execute steps (agent reasoning, evaluation, web search). * **Edges:** Conditional routes that direct execution flow based on state evaluation. * **Production Best Practices:** Always enforce **iteration limits** to prevent infinite loops, use **lightweight models** for evaluators to reduce latency, and keep evaluation separate from tool execution.
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