Step-by-step guides, automation pipelines, and production blueprints for building multi-agent systems, RAG pipelines, and enterprise AI workflows.
Equip your AI assistants with lightning-fast log searching and real-time data analytics using the ClickHouse Model Context Protocol (MCP) Server.
Deepak Bagada
Automate your revenue operations by connecting AI agents to your Stripe billing infrastructure using a custom FastMCP server.
Deepak Bagada
Analyzing token throughput, reasoning capabilities, and GPU VRAM utilization for next-generation local AI agents.
Deepak Bagada
A definitive, 1,200+ word technical guide on building a Prometheus and Kubernetes Diagnostics MCP Server, transforming Claude into an autonomous Site Reliability Engineer (SRE).
Deepak Bagada
A deep dive into architecting an enterprise-grade autonomous software engineering pipeline. Learn how to combine AutoGen 0.4's multi-agent capabilities with SonarQube's Abstract Syntax Tree (AST) analysis to create a self-correcting loop that generates, audits, and fixes code without human intervention.
Deepak Bagada
Cloud and LLM API costs can spiral out of control without constant monitoring. Learn how to deploy an autonomous FinOps AI agent that continuously analyzes AWS CloudWatch metrics, tracks LiteLLM usage, and automatically scales infrastructure or routes models to optimize enterprise spend.
Deepak Bagada
Modern cyber threats outpace human response times. Discover how to build a distributed Cyber Threat Intelligence (CTI) gateway using CrewAI, where specialized autonomous agents monitor security feeds, analyze anomalous network patterns, and execute automated remediation hooks to isolate compromised systems instantly.
Deepak Bagada
An in-depth technical analysis of DeepSeek-V3 and Claude 3.7 Sonnet performance in multi-agent orchestration, token economics, and latency budgeting for 2026 production systems.
Deepak Bagada
A definitive guide to scaling LLM inference in 2026 by implementing speculative decoding and dynamic prompt caching across distributed GPU clusters.
Deepak Bagada
A deep dive into the engineering trade-offs of building AI systems using rigid Directed Acyclic Graphs (DAGs) versus autonomous, probabilistic LLM loops in 2026.
Deepak Bagada
A comprehensive blueprint for securing autonomous AI agents in production, focusing on Zero-Trust principles, IAM integration, and execution sandboxes.
Deepak Bagada
An architectural guide to managing massive context windows efficiently, utilizing token compression and smart chunking to drastically reduce inference costs.
Deepak Bagada
