DevSocial Articles · AI Agents articles

Learn how WinDbg's MCP support can let AI agents investigate crash dumps through structured debugger tools and provide evidence-based natural-language debugging assistance.

Nidhi SharmaOct 84,8671,000

Learn how Microsoft Execution Containers provide policy-driven isolation for AI coding agents, limiting filesystem, network, and process access to reduce prompt-injection risk.

Bhavya SinghOct 82,2431,000

Microsoft 365 Copilot agents help organisations turn business knowledge into useful answers and actions. An HR agent can explain leave policies, an IT agent can guide troubleshooting, and a presales agent can retrieve product information to support a proposal. Building an effective agent requires mo

Dhanasekaran GOct 84,7841,000

Explains how WinDbg's Model Context Protocol support lets AI agents inspect debugger evidence and assist with natural-language crash and dump analysis.

Ananya DesaiOct 72,6011,000

Learn how the MCP Toolbox for Databases Java SDK provides type-safe, business-level database tools for AI agents through the Model Context Protocol.

Saurav KumarOct 72,0731,000

Explains why AI coding agents need Git workflows built for isolated worktrees, temporary state, concurrent tasks, and safe automated repository operations.

Aarav PatelOct 72,7221,000

Learn how AWS Lake Formation uses Trusted Identity Propagation to enforce each user's data permissions when AI agents query governed data.

Niharika GuptaOct 73,4611,000

Learn how the AG-UI .NET SDK connects AI agents and user-facing clients through standardized event streams, using ASP.NET Core, AGUIChatClient, and Microsoft.Extensions.AI.

Niharika GuptaOct 64,9261,000

Learn how Amazon Bedrock and GLM 5.3 can support coding agents for code generation, testing, debugging, and controlled tool-based development workflows.

Riya PatelOct 64,4281,000

Learn how to monitor AI agents and cloud applications with Amazon CloudWatch using structured logs, custom metrics, distributed tracing, and correlated telemetry.

Niharika GuptaOct 54,4661,000

Learn how AI agents use Azure DevOps Remote MCP to explore repositories, analyze pull requests, manage work items, and apply safe approval boundaries for write operations.

Nidhi SharmaOct 54,1171,000

Learn when to use Google ADK graph workflows instead of a single AI agent, including routing, sequential and parallel execution, joins, deterministic rules, and human review.

Saurav KumarOct 53,1171,000

OpenAI’s Dots, Meta’s Muse, xAI’s Grok Bot, Google’s Gemini Spark, and a rapidly growing class of persistent AI systems are being presented as the beginning of a new era in computing. Unlike the chatbots that defined the first phase of generative AI, these systems are designed to remain available ov

John GodelOct 54,3651,000

Learn how to reduce latency and token costs in LangGraph multi-agent LLM pipelines using semantic caches, Graph RAG result caching, and state checkpointing.

Tuhin PaulOct 54,5861,000

Learn how AWS AgentCore ambient agents use events such as S3 uploads and scheduled jobs to start AI workflows, with optional human approval and automated execution.

Riya PatelOct 54,5531,000

Learn how to connect AI agents to interactive .NET applications using structured events, ASP.NET Core streaming, Blazor, SignalR, and asynchronous agent workflows.

Nidhi SharmaOct 52,0811,000

Learn how AI agents search large tool catalogs, select relevant tools, and enforce authorization before executing tool calls.

Ananya DesaiOct 54,5061,000

Learn how Maximum Marginal Relevance improves RAG retrieval by balancing relevance and diversity in a LangGraph-based enterprise market research assistant.

Tuhin PaulOct 42,6001,000

Build an adaptive LangGraph RAG workflow that classifies query complexity and dynamically selects top-k retrieval. Learn how Graph RAG can improve relevant context while reducing noise and latency.

Tuhin PaulOct 33,6891,000

Build a LangGraph-based compliance advisor using Graph RAG and LLM agents to produce cited answers, reasoning steps, and confidence-scored audit trails.

Tuhin PaulOct 33,4441,000

Build an enterprise AI workflow that uses LangGraph agents and Graph RAG to generate creative ideas while grounding compliance checks in policy data.

Tuhin PaulOct 33,7431,000

Build a LangGraph multi-agent legal contract review proof of concept using LLM prompting, Graph RAG, state management, and a simulated fine-tuned legal model.

Tuhin PaulOct 34,7941,000

Build a LangGraph multi-agent system that uses a variational autoencoder and Graph RAG to detect and investigate anomalous financial transactions.

Tuhin PaulOct 32,8721,000

Build a LangGraph multi-agent system for enterprise support-ticket classification using a scikit-learn discriminative model, Graph RAG, ChromaDB, and persistent state.

Tuhin PaulOct 32,7911,000

Build a token-efficient enterprise RAG pipeline using LangGraph, Neo4j Graph RAG, context compression, and structured LLM output.

Tuhin PaulOct 22,6301,000

Build an IT operations AI agent with LangGraph, Graph RAG, Neo4j, and FastAPI. Learn to orchestrate tool calls, preserve state, and require human approval for risky actions.

Tuhin PaulOct 22,0571,000

Build an enterprise inventory assistant that uses LangGraph, Pydantic, Graph RAG, and FastAPI to validate and orchestrate LLM function calls.

Tuhin PaulOct 22,3391,000

Build a privacy-aware multi-agent LLM pipeline using LangGraph, Microsoft Presidio, and Graph RAG to detect, anonymize, retrieve, and optionally re-identify PII securely.

Tuhin PaulOct 23,5881,000

Design a scalable enterprise LLM API using FastAPI, LangGraph multi-agent workflows, Graph RAG with Neo4j, and Redis caching and session memory.

Tuhin PaulOct 24,3281,000