AI/ML Resources

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

· 3,359 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

· 3,751 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

· 4,283 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

· 3,056 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

· 2,979 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

· 3,445 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

· 3,789 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

· 3,422 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

· 2,903 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

· 3,903 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

· 3,743 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

· 4,552 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

· 3,281 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

· 4,647 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

· 3,563 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

· 5,771 Views · 2 Likes

The Global Race to Govern AI Agents Has Begun

Moltbook’s collapse and Singapore’s IMDA framework reveal why agentic AI needs new governance models — and how enterprises can apply them today.

March 12, 2026

by Karthik Mahalingam

· 4,045 Views

Escaping the “Demo Trap”: A Guide to Engineering Reliable AI Agents

The Agent Development Kit enforces modularity and type safety to decouple logic from models, ensuring agents remain durable assets despite rapid technology shifts.

March 12, 2026

by Rudrendu Paul

· 2,745 Views · 1 Like

The Human Bottleneck in DevOps Automating Knowledge with AIOps and SECI

DevOps pipelines are often automated, yet operations side remains surprisingly manual. Here’s a framework to reduce toil using AIOps and the SECI model.

March 12, 2026

by Soiure Coure

· 3,075 Views

Cost Control in AI Systems Is an Architectural Problem

In AI systems, rising costs are often architectural, not pricing. Retries, latency, and duplicate work multiply usage. Idempotency and boundaries control cost.

March 12, 2026

by Aditya Gupta

· 2,893 Views

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