AI/ML Resources

Why AI-Generated Code Fails Security Reviews 45% of the Time

AI coding tools produce security flaws in 45% of outputs, yet developers trust the code more despite no security gains in two years.

July 23, 2026

by sunil paidi

· 2,843 Views

AI and Agentic: Promise, Peril, and Predictability

As the use of AI and agentic AI grows, organizations need to implement strong governance and guardrails to protect their users and themselves.

July 23, 2026

by Bikram Sinha

· 3,732 Views

Treat Your AI's Output Like User Input

AI's output is untrusted input. Validate it, fence it in, and never hand it raw to anything that can do damage — the same reflex you already have for form data.

July 23, 2026

by Naveen Birru

· 2,014 Views

How to Build a Solid Test Pipeline in the Era of Agentic AI Development

Learn to build a strong testing pipeline to ensure code quality, as in enterprises today most code is generated by AI agents at a huge volume and scale.

July 22, 2026

by Sai Rakshit Yerram

· 3,717 Views · 1 Like

How Agentic AI Is Turning Traditional Automation Into a Tool Layer?

Agentic AI doesn’t replace traditional automation. It uses existing workflows, APIs, and systems as tools while handling decisions, exceptions, and complex tasks.

July 22, 2026

by Sagar Sahay Bhatnagar

· 2,626 Views

Tracing the Agentic Loop: Monitoring Multi-Round-Trip MCP Calls With OpenTelemetry

The latest MCP spec mandates W3C tracing. Use Quarkus and OpenTelemetry to easily visualize disjointed, multi-round-trip AI agent workflows in production.

July 22, 2026

by Daniel Oh

CORE

· 2,592 Views · 1 Like

Building Production-Ready AI Vector Search in Databricks: Chunking, Embeddings, ML Pipelines, and RAG

Build production-ready Databricks vector search with chunking, embeddings, Delta sync, index freshness, version control, and governance.

July 22, 2026

by Seshendranath Balla Venkata

· 2,113 Views · 1 Like

The Production-Readiness Gap in AI-Generated Full-Stack Apps

AI-generated apps can look complete quickly, but production readiness still depends on security, backend design, data quality, and observability

July 22, 2026

by Satyam Nikhra

· 2,798 Views

Beyond the Model: Building Real-World Machine Learning

Learn how MSOE bridges the gap between machine learning theory and production systems through data pipelines, deployment, monitoring, and automation.

July 21, 2026

by Craig Hardy

· 2,685 Views

Will AI Keep Us Stuck in 2020 Architectures?

AI coding assistants are deeply fluent in current Spring conventions, which raises a real question: does that lock architecture into 2020-era patterns? It turns out, no.

July 21, 2026

by Daniel Sagenschneider

· 3,106 Views · 1 Like

One Click From Requirements to Production: The Promise and the Reality

AI deployment demos always end before the hard part begins. Writing code is 20% of delivery. This article breaks down the hidden 80% that demos never show you.

July 21, 2026

by Sanketh Kumar Divveda

· 2,203 Views · 1 Like

Search Is Becoming the Control Plane for AI Agents

The future of AI agents is searchable tool discovery, not hardcoded APIs. MCP and semantic search are turning tools into capabilities agents can find and use at runtime.

July 21, 2026

by sunil paidi

· 2,009 Views

Agent Sprawl Is Your Next Production Incident: An SRE Response to Datadog's State of AI Engineering 2026

Datadog published the State of AI Engineering 2026 report. Read it. It's the most comprehensive look at AI in production available now.

July 20, 2026

by AJAY DEVINENI

· 2,918 Views · 1 Like

7 Essential Guardrails for Building AI SRE Agents

AI agents can take over the first minutes of incident response, but only with the right boundaries. Seven guardrails that keep an SRE agent from becoming the outage.

July 20, 2026

by Akhilesh Rao Meesala

· 2,109 Views · 3 Likes

Observability for AI Agents and Multi-Agent Systems: When Your System Can't Tell You Why It Did That

Agent systems discard the reasoning behind decisions. Capture workflow IDs, semantic logs, and prompt context before production deployment.

July 17, 2026

by Pruthvi Raj Seknametla

· 12,379 Views · 2 Likes

Mitigating Cache Stampedes in Dynamic API Translation Using Java 21 Virtual Threads

Building a dynamic API translation proxy that leverages Java 21 Virtual Threads and Redisson distributed locking to safely execute AI-driven schema mapping.

July 17, 2026

by Aniruddha Chatterjee

· 3,446 Views · 3 Likes

AGENTS.md Makes Your Java Codebase AI-Agent Ready

A standardized instruction layer for enabling AI agents to accurately navigate, build, and test applications by enforcing clear architectural and operational constraints.

July 17, 2026

by Daniel Oh

CORE

· 3,738 Views · 3 Likes

Every SOC Today Is Answering the Wrong Question

Rethink SOC architecture with Continuous Evidence Graphs that connect identities, sessions, and resources instead of relying on alert timelines.

July 17, 2026

by Igboanugo David Ugochukwu

CORE

· 2,910 Views

When AI Agents Call Your Microservices: 5 Assumptions That No Longer Hold

Five assumptions break predictable volume, rare duplicates, human-owned auth, fault-only retries, and log-based debugging, and five targeted fixes address each one.

July 16, 2026

by Maryna Klochkova

· 2,761 Views · 2 Likes

Platform Engineering 2.0: Evolve the Substrate for AI and Agents

As the workload demands for platform teams change to meet the needs of agents, so too must the platform paradigm itself.

July 16, 2026

by Chris Ward

CORE

· 24,514 Views · 2 Likes

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