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How can programming beginners contribute to open source? A complete guide covering project selection, finding good first issues, non-code contributions, and submitting your first Pull Request.

Completed Anthropic's free AI course and wondering what's next? This guide compares Udacity, DeepLearning.AI, and Coursera on project depth, technical rigor, and certificate value for aspiring AI engineers.

After completing MNIST implementation and paper reproduction, how should self-taught ML learners advance? This article outlines three paths: computer vision, NLP, and math foundations.

Learn how to use GitHub Copilot's Power Platform Skills plugin to generate, modify, and debug Power Automate cloud flows with natural language, including setup, Azure auth, demos, and cost analysis.

Exploring systems thinking, risk management, and long-term thinking through a long-distance sailor's confessions. The metaphorical parallels between solo sailing and software engineering.

Based on real data from Snyk's 4,800 enterprise customers, a deep analysis of three AI agent security pain points: automated attacks, untrusted outputs, and governance blind spots.

A systematic LLM learning roadmap: from Python basics to LangChain & LlamaIndex frameworks, RAG, Agent, and fine-tuning core skills, plus hands-on projects to master LLM app development in 3 months.

Learn how Java engineers can enter AI application development using Spring AI to build an enterprise-grade airline intelligent customer service system with RAG, Function Calling, and more.

AI Agents keep causing database deletions and data leaks. Snyk proposes three ADS defense lines: trusted code generation, supply chain protection, and behavioral governance using hooks and deterministic guardrails.

Deep dive into Harness technology: how context engineering, memory management, and multi-agent architecture transform LLM agents from stochastic demos into stable production systems.

A real case of a tech lead who outsourced all thinking to AI and fell into cognitive hollowing. Explore the definition, dangers, and strategies for cognitive debt in the AI era.

How can Java backend engineers transition to AI Agent development? This guide covers the evolution from Chat to Agentic AI, ReAct decision-making, MCP tool calling, and multi-Agent orchestration with Spring AI.

Deep dive into Google Cloud's complete stack for building data Agents with BigQuery and ADK, covering MCP Toolbox parameterized SQL, managed MCP servers, and Agent Analytics one-line observability.

A detailed guide on building an automated enterprise regulatory risk alert system using MCP protocol and Agent Skill, covering data collection, six evidence thresholds, applicability judgment, actionable measures, and delivery via Feishu/email.

Deep dive into EgoLite Agent browser, comparing it with Playwright MCP and Browser Use. Analyzing Space isolation, script-based operations, and Skill features.

GitHub Trending Aug 13: Local-first AI tools dominate with FluidVoice, unsloth, and modly, while Agent integration projects like holaOS and obsidian-skills reshape workflows.

A senior data scientist with a Physics PhD and 4.5 years of experience gets laid off, revealing the AI job market's shift from traditional ML to Agent engineering. Practical advice on bridging skill gaps.

A 16-year-old wants to become an ML security engineer. This article outlines the AI security knowledge system, covering math foundations, ML, cybersecurity, and adversarial attack practice.

Deep dive into TypeScript expert Matt Pocock's open-source AI coding workflow, analyzing the design philosophy behind Grill Me, 2Spec, 2Tickets, TDD, and other modular skills.

AFK is a team-oriented AI coding Agent management platform using Daemon local architecture, permission governance, task handoff, and BYOK to solve multi-user Agent collaboration challenges.