AI/ML Resources

Spring AI Advisors: Chat Memory, Token Tracking, and Message Logging

Part 3 of a step-by-step tutorial that decorates the implementation with Spring AI advisors to demonstrate how certain production concerns may be addressed.

June 5, 2026

by Horatiu Dan

CORE

· 3,538 Views · 3 Likes

Why Your Test Automation Is Always Behind the Code And the Architecture That Fixes It

Most QA teams are stuck in a manual scripting loop. Here's the requirement-driven architecture that eliminates the coverage gap permanently.

June 5, 2026

by Waqar Hashmi

· 3,191 Views

Persistent Memory for AI Agents Using LangChain's Deep Agents

Most AI agents forget you when the session ends. deepagents fixes that — persistent per-user memory across sessions, no vector database.

June 4, 2026

by Ninaad Rao

· 3,661 Views · 4 Likes

Building a High-Throughput Distributed Sequence Generator Using the Hi-Lo Algorithm

Design scalable sequential ID generation in distributed systems using the Hi-Lo pattern with Cosmos DB to reduce contention, improve latency, and maintain ordering.

June 4, 2026

by Vikas Mittal

· 2,386 Views

The Hidden Cost of AI Tokens: Engineering Patterns for 10x Resource Efficiency

How we cut our AI API bill from $127K to $13.8K monthly — not by switching providers, but by treating tokens as a first-class architectural concern.

June 4, 2026

by Dinesh Elumalai

CORE

· 2,286 Views · 1 Like

Testing AI-Infused Apps: A Dual-Layer Framework for AI Quality Assurance

Reliable AI delivery isn't either/or—it's both/and. Test conventionally for functionality. Evaluate probabilistically for quality. Deploy with dual-discipline confidence.

June 4, 2026

by Stelios Manioudakis

CORE

· 4,225 Views · 2 Likes

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Build scalable threat intel pipelines with Python, STIX/TAXII APIs, and Elasticsearch. Normalize data, preserve context, and enable fast, reliable detection.

June 4, 2026

by khadarvali shaik

· 2,360 Views

Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way

How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.

June 4, 2026

by Yuji Watanabe

· 2,764 Views · 1 Like

How to Save Money Using Custom LLMs for Specific Tasks

MCP transforms AI from "chatbot" to "capable agent" by managing the messy details of tool integration and execution. With local models.

June 3, 2026

by Max Tcvetkov

· 2,145 Views · 3 Likes

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 1

Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.

June 3, 2026

by Sangharsh Agarwal

· 3,191 Views · 2 Likes

Building AI-Powered Java Applications With Jakarta EE and LangChain4j

Integrate AI into Java apps with Jakarta EE, CDI, MicroProfile Config, and LangChain4j. Build AI services from simple prompts to type-safe domain-driven interactions.

June 3, 2026

by Otavio Santana

CORE

· 4,484 Views · 2 Likes

Securing the AI Host: Spring AI MCP Server Communication With API Keys

Part 2 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and secures the communication.

June 3, 2026

by Horatiu Dan

CORE

· 2,741 Views · 2 Likes

Using LLMs to Automate Data Cleaning and Transformation Pipelines

Data cleaning is brittle and time-consuming; LLMs introduce a semantic layer that makes workflows more resilient and easier to maintain.

June 3, 2026

by David Taiwo Balogun

· 3,321 Views · 2 Likes

7 Technology Waves I’ve Seen in 30 Years of Software — Will AI Be the Next Real Transformation?

Every major software wave added new business capabilities. AI’s real impact will come when it powers adaptive, intelligent business systems — not just faster development.

June 2, 2026

by Tribhuwan Bisht

· 4,276 Views · 5 Likes

The Missing `bandit` for AI Agents: How I Built a Static Analyzer for Prompt Injection

Static analysis for LLM agents that flags prompt-injection risks—like confused deputy flows and dynamic prompts—before runtime, improving security and auditability.

June 2, 2026

by Sanjay Krishnegowda

· 2,385 Views · 2 Likes

Why Stable RAG Answers Can Still Hide Unstable Evidence

RAG answers can stay stable while evidence shifts. Learn why evidence stability matters for reproducibility, auditability, and debugging — and how to check it.

June 2, 2026

by Punitha Ponnuraj

· 2,132 Views

Migrate a Hardcoded LangGraph Agent to LaunchDarkly AI Configs in 20 Minutes

Moving a hardcoded LangGraph React agent into LaunchDarkly AI Configs so prompts, models, tools, tracking, and rollout testing can be changed without redeploying.

June 2, 2026

by Scarlett Attensil

· 1,979 Views