AI/ML Resources

AI in Software Engineering: 3 Critical Mistakes to Avoid (and What to Do Instead)

Learn the mistakes developers make and how to avoid them. Use AI to accelerate development without sacrificing code quality, architecture, and long-term maintainability.

May 6, 2026

by Otavio Santana

CORE

· 2,001 Views · 1 Like

Security in the Age of MCP: Preventing "Hallucinated Privilege"

Prevent prompt injection in AI agents: default to read-only, require human approval for changes, and authenticate every tool call with end-user zero-trust permissions.

May 6, 2026

by Nikita Kothari

· 2,661 Views

Beyond Conversation: Mastering Context with Claude Code Skills and Agents

Stop "talking" to LLMs and start engineering context flows. The shift from chatbot to system component requires moving from monolithic prompts to modular agentic skills.

May 5, 2026

by Ioan Tinca

· 5,710 Views · 6 Likes

Engineering LLMOps: Building Robust CI/CD Pipelines for LLM Applications on Google Cloud

Master LLMOps on GCP by automating prompt evaluation, model deployment, and monitoring with Cloud Build and Vertex AI for robust AI apps.

May 5, 2026

by Jubin Soni, FBCS

CORE

· 2,372 Views

Beyond n8n for Workflow Automation: Agent Graphs as Your Universal Agent Harness

Agent graphs let you visualize multi-agent workflows in LaunchDarkly, monitor node performance, and fix slow agents without redeploying.

May 5, 2026

by Scarlett Attensil

· 2,101 Views · 1 Like

Setting Up Claude Code With Ollama: A Guide

Claude Code is a terminal-based AI coding assistant by Anthropic that can integrate with Ollama for local model inference.

May 5, 2026

by Gunter Rotsaert

CORE

· 4,599 Views · 3 Likes

AI in Software Architecture: Hype, Reality, and the Engineer’s Role

AI won’t replace engineers—it shifts their role. It boosts speed but adds complexity, debt, and review cost. Advantage goes to those who use it critically.

May 5, 2026

by Otavio Santana

CORE

· 2,609 Views · 1 Like

AI Didn't Replace Seniors; It Just Made Them the Bottleneck

The code generation era shipped a paradox: faster output, slower understanding, and a talent pipeline headed for collapse.

May 5, 2026

by Abgar Simonean

· 3,284 Views · 3 Likes

AgentOps: The Next Evolution of DevOps for AI-Driven Systems

Explore AgentOps, the next evolution of DevOps for AI systems, enabling scalable, observable, and safe deployment of autonomous AI agents.

May 4, 2026

by Dennis Helfer

· 2,223 Views

Integrating AI-Driven Decision-Making in Agile Frameworks: A Deep Dive into Real-World Applications and Challenges

AI + Agile boosts workflows via adaptability, retrospectives, and automation. Biggest gains come with human oversight, despite skills gaps and lack of standards.

May 4, 2026

by Abhijit Roy

· 2,790 Views · 2 Likes

Understanding MCP Architecture: LLM + API vs Model Context Protocol

PDF chatbot demo comparing LLM+API vs MCP: direct calls are simple for one app; MCP adds a server layer for tool discovery, reuse, and standardization.

May 1, 2026

by Sanjay Mishra

· 5,353 Views · 3 Likes

Designing a Production-Grade Multi-Agent LLM Architecture for Structured Data Extraction

Find out how a multi-agent LLM system overcomes the unreliability of single-LLM extraction when processing large volumes of documents for structured data.

May 1, 2026

by Haricharan Shivram Suresh Chandra Kumar

· 3,504 Views

From SDLC to ADLC in AI

AI development breaks traditional SDLC rules. Learn why ADLC, outcome-driven iteration, and continuous feedback are key to scaling AI in enterprises.

May 1, 2026

by Adam Mattis

· 2,389 Views · 1 Like

How AI Is Transforming Software Engineering and How Developers Can Take Advantage

AI is transforming software development by increasing speed, but developers still provide the judgment needed to build good software.

April 30, 2026

by Satyam Nikhra

· 2,455 Views

AI Agents for DevOps on Kubernetes Need Real Engineering, Not Magic

Kubernetes incident triage: OpenTelemetry → Kafka → CrewAI → RBAC scale. DORA 2024: 75% AI use, 39% low trust. AI correlates, humans approve changes.

April 30, 2026

by Abdul Majid Qureshi

· 2,681 Views

5 Ways Azure AI Search Enhances Enterprise RAG Architectures

Azure AI Search enhances RAG through hybrid search, semantic reranking, and enterprise-grade security for scalable production AI apps.

April 30, 2026

by Jubin Soni, FBCS

CORE

· 4,099 Views

The LLM Selection War Story: Part 4 - Your Production Failure Testing Suite

Which LLM is safe for production? This testing suite measures real failure rates across medical, financial, and code review applications. Complete code included.

April 29, 2026

by Dinesh Elumalai

CORE

· 2,546 Views

Beyond Big Data: Designing Agentic Data Pipelines for AI Workloads

Learn how agentic data pipelines go beyond big data to power modern AI workloads with autonomous decision-making, real-time adaptability, and intelligent data.

April 29, 2026

by Liza Kosh

· 3,182 Views

Designing Intelligent AI Systems for Tax Anomaly Detection

A real intelligent AI system automatically detects anomalies, irregularities, and potential fraud by leveraging hybrid architectures and explainable predictive models.

April 29, 2026

by Sowjanya Karri

· 2,352 Views · 1 Like

Implementing Effective Document Fraud Detection in C#

This article discusses some of the challenges of (and solutions for) adding fraud detection logic to automated document processing pipelines.

April 29, 2026

by Brian O'Neill

CORE

· 2,785 Views

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