AI/ML Resources

TensorFlow vs PyTorch: The Real Difference Isn’t Accuracy

A direct CNN benchmark on CIFAR-10 shows TensorFlow and PyTorch achieve identical accuracy (~68%). Choose TensorFlow for production and PyTorch for flexibility.

August 5, 2026

by Rakshath Naik

· 1,731 Views · 1 Like

Why LLM Pipelines Fail in Production and How Temporal and Kafka Fix Them

LLM pipelines fail from retries, failures, and long-running workflows; Kafka provides reliable event streaming, while Temporal ensures durable, fault-tolerant execution.

August 5, 2026

by Akhil Madineni

CORE

· 2,946 Views · 3 Likes

Securing AI Agents at the API Layer: 5 Controls That Actually Matter

AI agents don't break your API rules; they expose the ones you never enforced. This article covers five gateway-level controls that bring autonomous agents under control.

August 5, 2026

by Priyanka Jayavel

· 5,364 Views · 2 Likes

Agentic RAG: Basic RAG Plus MCP Tool Calls

Classic RAG is great at answering "what does the policy say?" It's terrible at answering "how many leave days do I have left?"

August 4, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,927 Views · 1 Like

GraphRAG Retrieval Is Three Decisions: Granularity, Mechanism, and Paradigm

This article walks you through the major retrieval mechanisms with runnable Cypher examples and explains when to use each.

August 4, 2026

by Lokesh Prakash Manohar

· 1,692 Views · 2 Likes

Understanding Agentic SDLC: The Future of Software Engineering

This article walks you through the fundamentals of agentic SDLC, its core components, and how it works in modern software engineering.

August 4, 2026

by Pavan Belagatti

CORE

· 3,321 Views · 3 Likes

Why AI Testing Needs Confidence Scores, Not Just Pass/Fail Results

AI testing needs more than pass/fail results. Confidence scores reveal uncertainty, improve reliability, and enable trustworthy enterprise AI.

August 3, 2026

by Rajeshkumar Rajaseakaran Nair

· 2,082 Views · 4 Likes

The Tectonic AI Platform: A Framework for Taming App Sprawl and Data Fragmentation

Vibe coding and AI-driven development often lead to application sprawl and data fragmentation. Using a Tectonic AI Platform framework can help.

August 3, 2026

by Saravanan Muniraj

· 1,642 Views · 3 Likes

Five Layers Between Your AI Agent and a Production Outage

Single-layer AI guardrails hit a 40% false-positive rate. My five-layer architecture on live AWS achieved 94% accuracy and 0% false negatives on destructive operations.

August 3, 2026

by Manvitha Potluri

· 1,474 Views · 2 Likes

Why Enterprise AI Agents Fail: A Runtime Data Governance Pattern for Reliable Answers

Why enterprise AI agents fail on production data, and a runtime governance pattern using data contracts, lineage signals, and guardrails to prevent it.

August 3, 2026

by Avinash Maddineni

· 2,919 Views · 4 Likes

Your AI-Generated Reports Have No Paper Trail

Most data lineage tools stop tracking when an LLM generates output. This article explains the inference boundary gap and a framework to fix it.

July 31, 2026

by Sashank siwakoti

· 3,410 Views · 2 Likes

Retrieval Augmented Generation With Spring AI 2.0, Claude, and PGvector

Build a RAG service with Spring AI 2.0, Claude, and PGvector that answers questions from your own documents with a single API key.

July 31, 2026

by Murat Balkan

CORE

· 3,018 Views · 2 Likes

Your AI Agent Shipped an Answer. But Did It Earn the Right To?

Bad Agentic AI output is rarely a generation problem. It's usually bad retrieval, bad planning, or bad execution upstream. Measure every stage, not just the result.

July 30, 2026

by Sibanjan Das

· 1,678 Views · 2 Likes

I Built a RAG Agent on Azure AI Foundry in an Afternoon. Here's What Nobody Tells You.

Azure AI Foundry turns RAG setup from a week of manual plumbing into an afternoon of configuration — but access control, security, and cost planning are still on you.

July 30, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,333 Views · 2 Likes

Coordinating AI Agents With AWS SQS: A Practical Queue-Based Architecture

AWS SQS helps multi-agent AI workflows handle retries, duplicates, and repeated failures with queues, idempotency, and DLQs.

July 30, 2026

by Lucas Yoon

· 2,865 Views · 4 Likes

What Is Agentic Test Creation and How Is It Different from AI Test Generation?

Every testing tool now advertises AI test generation. But many of them are just ChatGPT with a QA skin. Here’s how to tell the difference.

July 30, 2026

by John Vester

CORE

· 2,518 Views · 1 Like

Build Your Own Local AI QA Engineer With Docker, Ollama, LibreChat, and Playwright MCP

Learn how to build a completely local AI-powered QA Automation Engineer using Docker, Ollama, Qwen3:8b, LibreChat, and Playwright MCP.

July 30, 2026

by Faisal Khatri

CORE

· 9,105 Views · 2 Likes

Real-Time Risk Signals for AI Agent Authorization

Static auth checks don't react mid-session. Wire SSF risk events to your PDP and block agents the moment something looks wrong.

July 29, 2026

by Vatsal Gupta

· 1,811 Views · 2 Likes

AI in SRE: A Practical Autonomy Model for Self-Healing Infrastructure

A practical framework for graduated autonomy in self-healing infrastructure, covering three remediation tiers and policy-driven blast-radius controls for cloud SRE teams.

July 29, 2026

by Shraddhaben Gajjar

· 3,626 Views · 3 Likes

What Nobody Tells You About Running AI Models in Docker

At 2 am, a bloated 14GB Docker image with baked-in weights crashed our inference service; externalizing weights and rethinking GPU isolation fixed it.

July 29, 2026

by Pruthvi Raj Seknametla

· 34,920 Views · 3 Likes

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