The Latest and Popular SDLC Topics

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

· 3,576 Views · 3 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

· 4,777 Views · 3 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

· 2,924 Views · 4 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

· 3,882 Views · 5 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

· 4,506 Views · 6 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

· 2,739 Views · 3 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

· 2,241 Views · 1 Like

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

· 3,906 Views · 1 Like

Stop Debugging Glue Jobs Manually: Building an Agentic Observability Layer for Data Pipelines

Glue failures scatter evidence across logs, metadata, and table state. A triage layer pulls it together and flags whether a rerun is safe.

June 2, 2026

by Vivek Venkatesan

· 2,913 Views · 2 Likes

Building a Spring AI Assistant With MCP Servers: A Step-by-Step Tutorial

Part 1 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and sets the foundation for going to production.

June 2, 2026

by Horatiu Dan

CORE

· 2,749 Views · 5 Likes

Alternative Structured Concurrency

My goal here is to experiment with an alternative approach leveraging Java's tried-and-tested, robust functionalities that have been available since JDK 1.5.

June 2, 2026

by Valery Silaev

· 3,288 Views · 1 Like

5 AI Security Incidents That Broke Things in Production (and What They Have in Common)

Five real incidents from late 2025 and early 2026 show what happens when automated systems outpace the controls around them.

June 2, 2026

by Lavanya Chandrasekharan

· 2,866 Views · 2 Likes

The Agentic Agile Office: Streamlining Enterprise Agile With Autonomous AI Agents

Agentic Agile Office uses autonomous AI agents to cut admin overhead, detect risks early, and shift teams from manual tracking to intelligent, high-velocity delivery.

June 1, 2026

by Madhusudhan Chivukula

· 2,719 Views · 3 Likes

GenAI Implementation Isn't Magic — It’s a Lifecycle

GenAI apps follow a structured lifecycle — requirements, data, models, prompts, architecture, testing, deployment, and monitoring — to build scalable systems.

June 1, 2026

by Ajay Singh

· 1,958 Views · 2 Likes

MuleSoft IDP: Enhancing Efficiency and Accuracy in Data Extraction

MuleSoft IDP uses AI to extract and structure data from documents like invoices and PDFs, helping automate workflows, reduce errors, and improve processing speed.

June 1, 2026

by Jitendra Bafna

· 2,076 Views · 1 Like

Jakarta EE 12: Entering the Data Age of Enterprise Java

Jakarta EE 12 introduces the Data Age of Enterprise Java with Jakarta Query, improved data access, and a unified model for cloud-native and polyglot systems.

June 1, 2026

by Otavio Santana

CORE

· 9,870 Views · 1 Like

Design Patterns for GenAI Creative Systems in Advertising

Reviewing every AI-generated ad by hand doesn't scale — here's how the human oversight grows smarter instead of just bigger.

June 1, 2026

by Sriharsha Makineni

· 1,248 Views · 1 Like

Slopsquatting: Building a Scanner That Catches AI-Hallucinated Packages Before They Reach Production

AI aids coding, but hallucinations create "slopsquatting" risks. Secure your supply chain with my new open-source scanner to detect phantom packages.

May 29, 2026

by Denis Ermakov

· 10,057 Views · 54 Likes

LLM-Powered Deep Parsing for Industrial Inventory Search

LLM-powered deep parsing converts messy industrial inventory data into structured, searchable data, enabling precise searches and scalable deduplication.

May 29, 2026

by Andrey Chubin

· 3,306 Views · 1 Like

Zero-Downtime Deployments for Java Apps on Kubernetes

Achieve zero-downtime deployments for Java applications on Kubernetes using rolling updates, readiness/liveness probes, and graceful shutdown strategies.

May 29, 2026

by Ramya vani Rayala

· 4,880 Views · 1 Like

The Latest Popular Topics