#observability platform
11 related articles
·2 min
Elastic Acquires Deductive AI for $85M, Accelerating the AI-Powered Debugging Market
Elastic acquires AI debugging startup Deductive AI for up to $85M, boosting its observability and security platform. Analysis of the deal's strategy, competitive landscape, and industry impact.
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·3 min
The Ultimate Guide to Squeezing Every Drop from Mythos/Fable: Burning Through $8,000 in Inference Credits in 10 Days
Deep dive into maximizing Anthropic's Fable/Mythos model: 5-hour limit workarounds, dual account rotation, multi-Agent orchestration, and Mac Mini remote deployment to get $8,000 of inference from a $200 subscription.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·3 min
Complete Guide to LangChain 0.3: Module Architecture & Core Development in Practice
A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.
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·4 min
A Beginner's Guide to Deep Agents: The Complete Evolution from Basic Agents to Deep Agents
A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.
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·4 min
AI Agent in Practice: Building a Commercial-Grade Programming Agent from Scratch
A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.
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·3 min
Codex Loop Patterns: The Paradigm Shift of AI Agents from One-Shot Tasks to Continuous Loops
Deep dive into Boris Cherny's AI agent loop patterns: loop workflow elements, loop contracts, four practical loops (PR Babysitter, CI Health, Deploy Verification, Feedback Clustering), and failure prevention strategies.
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·3 min
Deep Dive into LangChain's Social Media Agent Open-Source Project: Architecture, Features, and Practical Value
In-depth analysis of LangChain's open-source social-media-agent: content sourcing, AI curation, scheduled publishing, Human-in-the-Loop design, and LangGraph architecture.
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·3 min
LangChain from Beginner to Agent Development: A Complete Learning Path for LLM Application Development
A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.
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Tutorials·3 min
Advanced LangGraph in Practice: Complete Guide to Agent Optimization, Evaluation, and Cloud Deployment
Deep dive into three advanced LangGraph topics: multi-agent architecture optimization, evaluation frameworks for non-deterministic AI systems, and cloud deployment with LangGraph Platform.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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