#agentic workflows
Agentic Workflows: 8 AI articles covering agentic workflows news, analysis, and research
Articles
Octoverse 2026: Commits, Pushes Hit New Highs as Developers⭐8
GitHub’s Octoverse 2026 report shows record commits and pushes as AI agents reshape development, from code generation to pull requests, raising new questions fo...
Meta Launches Open-Weight AI Model That Runs on Macs⭐8
Meta launches Muse Spark Open, a 816B-parameter open-weight AI model with a 1M token context window that runs locally on Macs.
GitHub's Model for Secret Detection: Finding More Secrets with⭐9
GitHub's secret detection model combines validated detections, contextual analysis, and continuous learning to catch more leaked credentials while cutting false...
How to Evaluate LLMs Before Production: A 2026 Guide⭐10
Evaluate LLMs for production with a 2026 guide: define metrics, build robust datasets, and align AI with business goals for reliable deployment.
Learn System Design for AI Agents: Build a Production-Ready⭐7
Learn system design for production-ready AI agents. Build a multi-agent PR reviewer with LangGraph, Redis, and more.
How Canvases Make Agentic Workflows Visible, Steerable, and Cost⭐10
Discover how canvases make AI agentic workflows visible, steerable, and cost-efficient for developers in 2026.
LangChain vs LangGraph: 4 Key Differences and When to Use Each⭐10
Looking to choose between LangChain and LangGraph? Discover 4 key differences, from pipelines to loops, and when to use each tool.
From Coder to Orchestrator: How Agents Are Redefining the⭐9
As AI agents evolve from code generators to autonomous collaborators, developers shift into orchestrators—guiding intelligent systems, reviewing output, and dir...