Search: “evaluation” Category: Code and Tech — 6 articles.
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6 articles in Code and Tech · matching “evaluation”
Explore the crucial trade-offs between local-first AI development environments and cloud-based AI agents, focusing on privacy, computational speed, and financial costs to help you choose the right approach for your projects.
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Explore the potential of natural-language-to-code tools to democratize software development, examining both the exciting opportunities for non-traditional developers and the inherent risks that come with this powerful technology.
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The daily life of a developer is rapidly evolving from manual typing to sophisticated prompting, critical reviewing, and strategic steering of AI tools. Explore how this shift impacts productivity, skill sets, and the future of software development.
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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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Discover how to move past ad-hoc prompt engineering to robust, scalable evaluation pipelines for large language model outputs. Learn about key metrics, datasets, and automated tools for consistent quality.
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Explore the revolutionary impact of AI coding agents like Claude Code and Devin-style tools, moving past simple autocomplete to fundamentally transform how developers build, debug, and deploy software.
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