The Latest and Popular SDLC Topics

Running Granite 4.0-1B Locally on Android

This guide will walk you through setting up two primary ways to interact with Granite locally, an interactive CLI and a Local Web Interface.

February 4, 2026

by Matthias Blomme

· 436 Views

Semantic Contracts: The Missing Layer Between Good Data and Reliable AI

Semantic contracts prevent silent data and AI failures by enforcing shared data meaning and assumptions across pipelines in CI and at runtime.

February 4, 2026

by Vivek Venkatesan

· 2,948 Views · 1 Like

AI Governance for AI Agents: Ship Fast, Stay Safe

Learn how to deploy AI agents safely with governance-first practices, balancing speed, compliance, and innovation in production systems.

February 4, 2026

by Rakshith Vijayakumar Aralimatti

· 1,001 Views

I Built AIBrowser With Claude Code: A Desktop Version of Manus

AI Browser (Altas) is an open-source Electron app that lets you control a browser with natural language to automate tasks, scrape data, and monitor sites.

February 4, 2026

by Liu Shuai

· 1,210 Views

Building a 300 Channel Video Encoding Server

NETINT VPU Technology with Ampere® Altra® Processors set new operational cost and efficiency standards

February 3, 2026

by John Oneill

· 2,661 Views · 1 Like

AI-Powered Spring Boot Concurrency: Virtual Threads in Practice

AI does not handle threads; it handles decisions. This article looks into how AI can help set safe concurrency limits for Spring Boot virtual threads.

February 3, 2026

by Lavi Kumar

· 2,249 Views · 1 Like

Rapid Prototyping for Multimodal AI Agents in Enterprise Collaboration

Prompt-to-prototype multimodal agents fast; validate voice and text flows, trust/recovery, and multi-agent orchestration early to cut rework for dev teams.

February 3, 2026

by Priyanka Kuvalekar

· 1,245 Views

Building Resilient Industrial AI: A Developer’s Guide to Multi-ERP RAG

Move beyond prompt engineering. This guide outlines a hybrid RAG architecture for securely integrating legacy ERPs with cloud orchestration.

February 3, 2026

by Rahul Kumar Thatikonda

· 1,598 Views · 1 Like

Token-Efficient RAG: Using Query Intent to Reduce Cost Without Losing Accuracy

Retrieval-Augmented Generation (RAG) optimization technique to reduce the number of tokens required to generate a response while maintaining response accuracy.

February 3, 2026

by Varun Setia

· 889 Views

How Global Payment Processors like Stripe and PayPal Use Apache Kafka and Flink to Scale

How top payment processor companies like Stripe, PayPal, Payoneer, and Worldline use data streaming for real-time payments and fraud detection.

February 3, 2026

by Kai Wähner

CORE

· 1,622 Views · 3 Likes

Agentic Commerce: A Developer's Guide to Google's Universal Commerce Protocol (UCP)

Google’s UCP lets AI agents handle end-to-end shopping across sites like Walmart. Sellers must optimize data for AI, saving time while introducing new privacy risks.

February 2, 2026

by Ram Ghadiyaram

CORE

· 1,813 Views · 2 Likes

ML Performance Monitoring Metrics: A Simple Guide for Every Model Type

This article gives a clear, beginner-friendly overview of which metrics to monitor for different types of ML models, with small, easy examples.

February 2, 2026

by Sevinthi Kali Sankar Nagarajan

· 1,636 Views

From Test Automation to Autonomous Quality: Designing AI Agents for Data Validation at Scale

Autonomous quality uses AI agents to detect subtle data behavior shifts early, scaling trust beyond what traditional test automation can achieve.

February 2, 2026

by Sandip Gami

· 2,881 Views · 3 Likes

Modern Vulnerability Detection: Using GNNs to Find Subtle Bugs

Move beyond regex-based scanning; learn how graph neural networks and Code Property Graphs analyze true data flow to eliminate SAST false positives.

February 2, 2026

by Rahul Karne

· 10,135 Views

From LLMs to Agents: How BigID is Enabling Secure Agentic AI for Data Governance

BigID leverages agentic AI to move beyond traditional LLMs, enabling secure, autonomous data discovery, governance, and real-time decision-making at enterprise scale.

January 30, 2026

by Satish Gaddipati

· 1,840 Views · 1 Like

ToolOrchestra vs Mixture of Experts: Routing Intelligence at Scale

Learn about two fundamental architectural patterns reshaping how we build intelligent systems. Explore ToolOrchestra, Mixture of Experts (MoE), and other AI patterns.

January 30, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,133 Views · 1 Like

Ralph Wiggum Ships Code While You Sleep. Agile Asks: Should It?

AI makes code cheap, not thinking. When cost disappears, Agile principles supply discipline so teams don’t build the wrong thing faster at scale with AI.

January 30, 2026

by Stefan Wolpers

CORE

· 2,097 Views · 1 Like

Essential Techniques for Production Vector Search Systems, Part 3: Filterable HNSW

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

January 30, 2026

by Pavan Vemuri

CORE

· 1,664 Views · 2 Likes

TPU vs GPU: Real-World Performance Testing for LLM Training on Google Cloud

H100 GPUs are best for flexibility, fast iteration, and custom CUDA work. TPU v5p wins on GCP for large-scale LLM training with better cost efficiency and scaling.

January 30, 2026

by Jubin Soni, FBCS

CORE

· 3,832 Views

Automating TDD: Using AI to Generate Edge-Case Unit Tests

This article demonstrates a "Threat-Model-First" workflow where we use AI not just to write code, but to aggressively attack our logic before we implement it.

January 30, 2026

by Nikita Kothari

· 2,264 Views

The Latest Popular Topics