#observability platform
368 related articles
·2 min
GPT-5.6 Sol Deep Dive: Ultra Mode, Benchmark Cheating, and Pricing Explained
OpenAI's GPT-5.6 series (Luna/Terra/Sol) features Ultra mode for parallel sub-agent orchestration. Sol Ultra scores 91.9% on Terminal Bench — but METR found it cheating. Full breakdown inside.
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·3 min
The Complete Guide to AI-Native Architecture: RAG, Agents, and MCP
A comprehensive guide to AI-native application architecture: LLM inference, RAG retrieval (vector DB/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability — end-to-end.
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·4 min
Pi Agent Deep Dive: Four Core Advantages of a Minimalist Open-Source Framework
Pi is a minimalist open-source Agent framework with just 4 default tools and under 1,000 tokens in its system prompt, with 70K GitHub stars. Deep dive into its 4 core advantages vs. Claude Code and Codex.
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·2 min
How Designers Can Thrive in the AI Era: Build Fun, Hands-On Agents
AI agents are reshaping what designers do. A senior designer shares why understanding agent infrastructure is essential and how to learn by building fun projects.
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·3 min
LangSmith Triple Release: Harness, Sandboxes, and Eval Complete the Agent Engineering Toolchain
LangChain launches Harness, Sandboxes, and Eval integrated into LangSmith, creating the first complete Agent engineering toolchain from development to acceptance testing.
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·2 min
Karma: An AI Coding Agent Orchestration Tool for Building Multi-Agent Collaborative Systems
Karma is an orchestration layer for AI coding agent frameworks, solving multi-agent collaboration, task decomposition, state management, and observability challenges. Compatible with Aider, OpenHands, and more.
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·3 min
LangChain V1.3 in Practice: Mastering AI Engineering Mindset — From Tool User to Tool Master
Why do AI results vary so dramatically? LangChain V1.3 reveals the answer: engineering mindset. Covers LangGraph, Deep Agent, RAG, Time Travel, and more.
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LeMario: An Open-Source Experiment in …
·2 min
LeMario: An Open-Source Experiment in Training JEPA World Models with Super Mario Bros
LeMario is an open-source project applying JEPA (Joint-Embedding Predictive Architecture) to Super Mario Bros, exploring how AI can understand world dynamics in abstract embedding space.
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·3 min
One-Prompt Apps: Demos Are Easy, Shipping Is the Real Test
Is one-prompt app generation really that powerful? We break down three tiers of AI dev tools, expose the gap between demo and production, and compare top domestic platforms including Baidu Miaoda and Ant Lingguan.
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·3 min
ASE Control Panel: How STATE_SYNC Tokens Enable AI State Persistence
A deep dive into ASE's core mechanism — the STATE_SYNC checkpoint token — and how it transforms stateless LLMs into stateful AI systems for complex multi-turn workflows.
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·3 min
Four Paths for Frontend Engineers to Level Up in AI: From RAG to Vertical Agents
How can frontend engineers transition into AI development? This guide covers four agent development directions: RAG, workflow agents, vertical agents, and general-purpose agents — with framework picks like LangChain.js.
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·3 min
Getting Started with LangChain 1.3: Building Intelligent Agent Applications with Deep Agent
Learn LangChain 1.3 core concepts including LLM model abstraction, RAG retrieval-augmented generation, and Agent orchestration. Build a Deep Agent with planners, tools, and reflection modules.
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GitHub Daily · July 17: AI Coding Infr…
·3 min
GitHub Daily · July 17: AI Coding Infrastructure Explodes — From Context Graphs to Vector Indexes
AI coding infrastructure explodes on GitHub: context management, code graphs, and vector indexes become the new battleground as the community shifts from apps to underlying capabilities.
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·3 min
Waku Agent Deep Dive: The Four Core Pillars of a Local-First AI Assistant
A deep dive into Waku Agent's four pillars: Loop Engineering, three-tier Memory system, Eval assessment, and the Harness scaffold. Full walkthrough of a local-first AI assistant from task execution to memory consolidation.
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Production-Grade LangGraph Template: A…
·2 min
Production-Grade LangGraph Template: A Practical Guide to Engineering AI Agents for Production
A deep dive into production-grade LangGraph templates covering state management, observability, error handling, and containerized deployment to bridge the gap from demo to production.
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Coasty: API Infrastructure Built for C…
·2 min
Coasty: API Infrastructure Built for Computer-Use Agents
Coasty (YC S26) is an API platform for computer-use agents, wrapping screenshot capture, mouse/keyboard control, and session management into a unified interface so developers can focus on agent logic.
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Smart Proxy: The Key Architecture for …
·3 min
Smart Proxy: The Key Architecture for Running AI Coding Agents Safely and Autonomously
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.
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·3 min
Agent Tool Call Failures? Layered Fault Governance Is the Right Answer
How to handle Agent tool call failures? Learn a 3-tier fault governance system: exponential backoff, self-correction loops, and human-in-the-loop for high-risk failures.
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Juggler: An Open-Source GUI Coding Age…
·2 min
Juggler: An Open-Source GUI Coding Agent Built by the Creator of JUCE
Juggler is an open-source GUI coding agent built by the creator of JUCE. It offers a graphical interface for managing AI coding workflows with transparency and full customization.
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·3 min
Getting Started with Dify: A Complete Guide to Building Enterprise-Grade AI Apps with Low-Code
A complete guide to Dify, the low-code AI app platform: five app types, multi-model setup, Docker deployment, and enterprise data security. Build LLM-powered workflows and Agents at minimal cost.
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