#Python SDK
146 related articles
·3 min
Dify 1.8 Complete Beginner's Guide: Build 20+ AI Apps Fast
A complete Dify 1.8 guide covering 3 deployment methods (Docker/cloud/source), MySQL integration, 5 app types (Chatbot/Agent/Workflow), model selection, and publishing strategies.
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Dependency Drift in Production AI Agents: Detection, Response, and Building Resilient Systems
AI Agents in production face systemic dependency drift risks — model updates silently change outputs and silent failures are hard to detect. Learn detection strategies, hidden costs, and engineering practices.
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·4 min
Microsoft Dataverse Plugin for Coding Agents: Natural Language-Driven Enterprise Low-Code Development
Microsoft Power Platform's Dataverse plugin for coding agents supports GitHub Copilot, Claude Code, and more — enabling natural language data modeling, queries, security config, and docs generation.
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FastMCP: The Go-To Framework for Pytho…
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FastMCP: The Go-To Framework for Python Developers Building MCP Servers and Clients
FastMCP is a Pythonic MCP framework by PrefectHQ that lets developers build MCP servers and clients with minimal code using decorators. 26,000+ GitHub stars.
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Kimi CLI Open-Sourced: Moonshot AI's C…
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Kimi CLI Open-Sourced: Moonshot AI's Command-Line AI Coding Agent
Moonshot AI open-sources Kimi CLI, a command-line AI coding agent for code generation, debugging & refactoring. Hits 9K+ GitHub Stars, competing with Claude Code and Gemini CLI.
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Frontend to AI Agent: Why TypeScript + Zod Have Become Non-Negotiable
Frontend engineers pivoting to AI Agent development: TypeScript and Zod are now must-have skills. Explore the full progression from API calls to building LangGraph-style frameworks, and nail the 3 core interview topics.
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Stop Shipping Skills Blindly! A Google DeepMind Engineer's Hands-On Guide to Agent Evaluation
Google DeepMind engineer Philip reveals: almost everyone uses coding agent Skills, yet almost no one writes evals for them. A deep dive into Skill evaluation methods, 8 actionable tips, and a real Gemini API case study.
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Microsoft Teams Collaborative AI Agents: The Three-Pillar Framework of Manners, Privacy, and Polish
Microsoft Build deep dive: how to deploy AI agents in Teams multi-user collaboration. A three-pillar framework—Manners, Privacy, Polish—covering emoji reactions, targeted messages, Adaptive Cards, and more for enterprise agent developers.
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Building AI Engineering Skills from Sc…
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Building AI Engineering Skills from Scratch: A Deep Dive into the Viral GitHub Learning Path
A deep dive into 'ai-engineering-from-scratch,' the GitHub project with 38K+ stars that helps developers build real AI engineering skills through a Learn-Build-Ship methodology.
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Self-Healing Agent Loops: Using AI to Automatically Discover and Fix Programming Language Bugs
How Boundary built a self-healing AI Agent loop that automatically writes BAML code, discovers bugs, and generates fix PRs — a practical software factory with deduplication, human-in-the-loop leverage points, and extensible multi-loop design.
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Flyte Deep Dive: A Practical Guide to Choosing Your ML Workflow Orchestration Tool
Deep dive into Flyte's core capabilities: cloud-native GPU scheduling, intelligent caching, checkpoint recovery, and conditional deployment — plus a full comparison with Argo and KubeFlow Pipelines.
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Gemini New API Keys Not Working? AQ__ Format Compatibility Troubleshooting Guide
Gemini new API keys (AQ__ prefix) returning 401/400 errors in Python? Learn the key format differences, SDK compatibility issues, and fixes including upgrading google-genai.
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Cosmonapse: A Decentralized Multi-Agent Framework Built on an Event Bus
Cosmonapse is an open-source multi-agent framework that replaces central orchestrators with peer nodes, using typed signals and an event bus to fully decouple tool calls, memory, and HITL. Supports Python and TypeScript under Apache 2.0.
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BAML: A Type-Safe Programming Language…
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BAML: A Type-Safe Programming Language Designed for AI Agents
BAML is a domain-specific language for AI Agent development that uses a type system to solve unreliable LLM structured output and unmaintainable prompts.
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AirOps in Practice: Building Enterprise-Grade AI Agents with the Claude Agent SDK
How AirOps replaced traditional workflow builders with the Claude Agent SDK to build an AI agent platform for content marketers — covering three architectural iterations, harness engineering, and sub-agent context management.
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Anthropic Open-Sources CWC Workshops: …
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Anthropic Open-Sources CWC Workshops: A Hands-On Guide to Claude Development
Anthropic open-sources cwc-workshops on GitHub — a TypeScript-based, structured workshop covering Prompt design, Tool Use, and Agent orchestration to help developers master Claude integration.
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PostHog Deep Dive: The Open-Source All…
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PostHog Deep Dive: The Open-Source All-in-One Platform for Product Analytics and AI Observability
PostHog is an open-source all-in-one platform combining product analytics, session replay, feature flags, A/B testing, and AI Observability. Supports self-hosting and MCP protocol.
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Cursor + Appium: Building a Full Mobile Automation Testing Workflow with AI
Learn how to combine Cursor AI with Appium in a 4-step workflow—environment check, test planning, project generation, and reporting—to build mobile automation fast.
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·3 min
Build an MCP Server in 10 Minutes: Let AI Call Your Code Directly
MCP (Model Context Protocol) is the open standard for AI tool integration. Build your own MCP server with ~20 lines of Python. Learn tools, resources, prompts, and both local and remote deployment.
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GitHub Daily · July 17: AI Coding Infr…
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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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