AI Workflows & Agentic Architecture Directory

Architect a robust, self-healing automated QA testing pipeline using multi-agent architectures to intelligently navigate DOM changes, dynamically generate assertions, and validate complex UI flows with zero human intervention.

The MCP Tasks extension (SEP-2663) finally lets tools return a taskId while a job runs in the background. Build a server that queues, polls, and reports long-running jobs to Claude Desktop and Cursor - durable and stateless-friendly.

Microsoft shipped the Azure DevOps Remote MCP server in general availability on Aug 5, 2026. Here is how to build and secure a production-grade Azure DevOps MCP server with Entra OAuth 2.0.

Agents are complex and expensive but often debugged like scripts. Standardize OTel GenAI semantics, trace every phase of the loop, and put budget gates on top so costs cannot run away unseen.

AutoGen is headed into maintenance mode. Migrate to the Microsoft Agent Framework or LangGraph: comparison tables, a step-by-step migration path, code examples, and the ROI of moving.

Agents can finally render UI: buttons, forms, cards, charts. Here is the developer's comparison of MCP Apps vs OpenAI Agent Plugins - syntax, permission models, and the dual-emit decision framework.

MCP is for verbs (it does something), Skills are for nouns (things the model knows). This is the decision framework: a comparison table, a concrete decision flow, code for both, and the build-vs-run ROI math.

Kimi K3 pushed open weights into frontier territory. This is the honest viability review: MoE structure, benchmark reality, self-host vs API economics, and the risk stack that decides the real answer.

OpenAI crushed GPT-5.6 Luna input pricing to $0.20 per 1M tokens on July 30 - a 4x cut. Here is the unit-cost model, cost-per-agent-run formulas, and the ROI math your fleet should adopt this quarter.

Construct a high-performance, real-time video processing pipeline that ingests live streams, extracts keyframes with FFmpeg, and uses Gemini 2.5 Flash Vision to generate instant highlights and summaries.

Deploy a multi-agent AI system utilizing AutoGen 0.4 to automate hardware verification, analyze Cadence simulation logs, and pinpoint RTL bugs in complex semiconductor chip designs.

Quantum computing meets enterprise AI. Discover how combining classical deep learning architectures with Quantum Approximate Optimization Algorithms (QAOA) on Noisy Intermediate-Scale Quantum (NISQ) hardware unlocks unparalleled optimization speeds.