The Latest and Popular SDLC Topics

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

· 2,026 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

· 1,950 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

· 3,051 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

· 10,540 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

· 1,968 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

· 2,391 Views · 2 Likes

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

· 2,200 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

· 1,860 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

· 4,512 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

· 2,481 Views

Mentorship in Modern Engineering Teams: The ROI Question in the Age of AI

This article combines practical mentoring experience with an analysis of how AI alters the junior career path, focusing on what teams should realistically expect today.

January 30, 2026

by Daniel Gonik

· 1,435 Views

Reliable AI Agent Architecture for Mobile: Timeouts, Retries, and Idempotent Tool Calls

Ship reliable mobile agents: timeout everything, retry by error class, persist steps across restarts, and require idempotency keys for write tools.

January 29, 2026

by Mohan Sankaran

· 2,290 Views · 6 Likes

5 Technical Strategies for Scaling SaaS Applications

In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing on my own experience, and share the lessons learned.

January 29, 2026

by Mykhailo Kopyl

· 2,091 Views · 1 Like

AI Awareness for File-Based Work: The Risk of Silent Failure

A real Gemini Pro session shows how AI can look “done” while skipping uploaded data and ignoring STOP commands — creating silent failure risk without verification.

January 29, 2026

by Mallesh Miryala

· 1,239 Views

Automating AWS Glue Infra and Code Reviews With RAG and Amazon Bedrock

Automate AWS Glue reviews with infra-first RAG governance, enforcing enterprise standards, reducing manual work, and shifting checks left.

January 29, 2026

by pooja chhabra

· 2,087 Views

AI-Powered DevSecOps: Automating Security with Machine Learning Tools

AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.

January 28, 2026

by Igboanugo David Ugochukwu

CORE

· 2,426 Views · 1 Like

Claude Cowork: AI Agents’ Email Moment for Non-Coders

An overview of Claude Cowork and how it makes AI agents accessible to non-coders, with practical examples for agile practitioners.

January 28, 2026

by Stefan Wolpers

CORE

· 1,682 Views

LLM-Powered Product Development: A Python-Centric Approach

Large language models (LLMs) are at the core of transformation that is helping AI to shift from lab to real world applications.

January 28, 2026

by Manish Adawadkar

· 2,377 Views

Building an Internal Document Search Tool with Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is transforming enterprise AI by bridging the gap between general-purpose language models and organization-specific knowledge.

January 27, 2026

by Manish Adawadkar

· 3,434 Views

Edge-First AI Architecture: Designing Low-Latency, Offline-Capable Intelligence

Most Android AI features stall on flaky networks; an edge-first architecture runs key models on-device, with cloud used only as an optional upgrade.

January 27, 2026

by Mohan Sankaran

· 2,973 Views · 5 Likes

The Latest Popular Topics