AI/ML Resources

Learn about agentic AI, its autonomous capabilities, and emerging security threats, including memory poisoning, API misuse, and multi-agent vulnerabilities.

March 19, 2026

by Sandesh Basrur

· 3,507 Views

Zero-Cost AI with Java

Create a zero-cost AI application quickly using Ollama and Java with Spring AI — with no extra costs and full compatibility with other LLMs like OpenAI.

March 18, 2026

by Fernando Boaglio

· 5,163 Views · 5 Likes

How LLMs Reach 1 Million Token Context Windows — Context Parallelism and Ring Attention

Learn how Ring Attention and context parallelism enable LLMs to scale to 10M tokens through distributed GPU training and memory optimization.

March 18, 2026

by Kevin Vu

· 3,575 Views

Is Your “Human-in-the-Loop” Actually Slowing You Down? Here’s What We Learned

Our optimized HITL strategy cut review time 73%, model deployment from weeks to hours, and costs by 67% while improving accuracy.

March 18, 2026

by Kavin Xavier

· 3,295 Views · 1 Like

Orchestrating the Agentic Explosion: A Unified Governance Framework for the AI-First Enterprise

Enterprise AI is the operating model; success needs disciplined execution, business KPIs, and the OLEA governance framework.

March 18, 2026

by Sony Manay

· 3,676 Views · 1 Like

Beyond the Black Box: Implementing “Human-in-the-Loop” (HITL) Agentic Workflows for Regulated Industries

Stop "Black Box" AI risk. Master the Commit Boundary pattern to secure autonomous agents. Build "Audit-Ready" AI with typed schemas and risk-scoring.

March 18, 2026

by Rahul Kumar Thatikonda

· 4,001 Views · 3 Likes

Building Framework-Agnostic AI Swarms: Compare LangGraph, Strands, and OpenAI Swarm

Build a 3-agent research analysis swarm where you can swap models, tweak prompts, and compare orchestrator performance without duplicating configuration.

March 17, 2026

by Scarlett Attensil

· 4,446 Views · 1 Like

Beyond Chatbots: Supercharging Feather Wand With Claude Code Integration

When I first introduced Feather Wand, the goal was simple: to make performance testing more accessible and efficient by leveraging the power of AI.

March 17, 2026

by NaveenKumar Namachivayam

CORE

· 3,371 Views · 1 Like

Memory Is a Distributed Systems Problem: Designing Conversational AI That Stays Coherent at Scale

Conversational AI memory fails at scale because it’s state, not a model feature. Treat it as a governed, layered, distributed infrastructure, not prompts.

March 17, 2026

by Praveen Asthagiri

· 3,165 Views

Observability in AI Pipelines: Why “The System Is Up” Means Nothing

AI systems can be fully “up” yet behave unpredictably, expensively, or incorrectly. Observability must track job state, retries, token usage, and cost.

March 17, 2026

by Aditya Gupta

· 3,796 Views · 1 Like

When Similarity Isn’t Accuracy in GenAI: Vector RAG vs GraphRAG

Vector RAG is good for semantically similar retrieval, but GraphRAG adds missing entity relationships and reasoning required for deterministic entity grounding.

March 17, 2026

by Birendra Kumar

· 4,170 Views · 1 Like

Production LLM Data Extraction Pipeline With LaunchDarkly and Vercel AI Gateway

Build a pipeline that extracts structured fields from raw transcripts (sentiment scores, urgency signals, buying intent) and feeds them straight into your ML models.

March 16, 2026

by Scarlett Attensil

· 3,560 Views · 2 Likes

Online Feature Store for AI and Machine Learning with Apache Kafka and Flink

Real-time feature store powered by Apache Kafka and Flink enable fast, scalable AI personalization with fresh data and low-latency processing.

March 16, 2026

by Kai Wähner

CORE

· 3,011 Views · 1 Like

Agentic AI: Autonomous AI Agent With PostgreSQL

Agentic AI builds goal-driven systems with planning, tools, memory, and state. This guide shows how to build one with PostgreSQL.

March 16, 2026

by Damil Shahzad

· 4,193 Views · 3 Likes

How Multimodal AI Is Reshaping Kubernetes Workflows: Future-Proofing Your Platform

Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.

March 16, 2026

by Vamshidhar Parupally

· 3,994 Views

8 Core LLM Development Skills Every Enterprise AI Team Must Master

Learn all about the eight essential LLM development skills every enterprise AI team must master for production-ready, scalable, and auditable AI systems.

March 16, 2026

by Ram Ghadiyaram

CORE

· 4,977 Views · 1 Like

Beyond the Chatbot: Engineering a Real-World GitHub Auditor in TypeScript

Learn to architect and build an autonomous GitHub triage agent using TypeScript and LangChain that is intelligent enough to be a senior maintainer.

March 13, 2026

by Anujkumarsinh Donvir

CORE

· 3,491 Views · 1 Like

Engineering an AI Agent Skill for Enterprise UI Generation

How we built ZUL-writer: an agent skill that turns textual requirements and UI mockups into production-ready front-end code (ZUL) and Java controller templates.

March 13, 2026

by Hawk Chen

CORE

· 5,372 Views · 3 Likes

Building an AI-First Enterprise: Multi-Agent Systems, DSLMs, and the New SDLC in 2026

AI systems now function as dependable work execution engines, performing tasks that go far beyond basic chatbot capabilities through multi-agent systems.

March 13, 2026

by Kaleeswaran Muthupandi

· 3,845 Views

Google Cloud AI Agents With Gemini 3: Building Multi-Agent Systems That Actually Work

Build and scale multi-agent systems using Gemini 3 on Google Cloud Vertex AI, featuring code and architecture for technical experts.

March 12, 2026

by Jubin Soni, FBCS

CORE

· 6,379 Views · 2 Likes

The Latest AI/ML Topics