The Latest and Popular SDLC Topics

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

· 1,241 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

· 1,936 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

· 1,944 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

· 1,125 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

· 1,923 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

· 2,183 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

· 1,580 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

· 2,207 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

· 3,149 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

· 2,587 Views · 5 Likes

Building an AI Agent Traffic Management Platform: APISIX AI Gateway in Practice

A global appliance leader uses APISIX AI Gateway for unified LLM traffic control, hybrid cloud routing, and multi-tenant isolation.

January 26, 2026

by Yilia Lin

· 1,260 Views

Engineering Habits for Building Resilient Software

This article examines how integrating AI into the software development lifecycle (SDLC) is enabling teams to move from MVPs to large, resilient systems.

January 26, 2026

by Ammar Ekbote

· 1,245 Views · 1 Like

The Anatomy of an AI Agent and How to Build One With Docker Cagent

AI Agents perceive, reason, plan, and act autonomously using LLMs. This article breaks down the core components that power every agent and shows you how to build one.

January 26, 2026

by Siri Varma Vegiraju

CORE

· 2,204 Views · 1 Like

How to Create AI-Enhanced Code Review Systems

AI-enhanced code review systems use embeddings and LLMs in Git hooks to catch repetitive issues, freeing human reviewers to focus on higher-level architectural decisions.

January 26, 2026

by Mohit Menghnani

CORE

· 1,954 Views · 2 Likes

The A3 Framework: Assist, Automate, Avoid — A Decision System for AI Delegation

The A3 Framework helps teams decide when to Assist, Automate, or Avoid AI by categorizing work before prompting, reducing risk, and safeguarding trust.

January 26, 2026

by Stefan Wolpers

CORE

· 1,263 Views

Secure AI Architecture for Payments: From Risk Signals to Real-Time Decisions

Secure AI architecture for Android payments that turns device, behavior, and transaction signals into real-time approve-or-challenge decisions.

January 23, 2026

by Mohan Sankaran

· 2,122 Views · 7 Likes

How a Standardized Logistics Protocol Can Unlock AI's Full Potential in Supply Chain

AI can’t transform logistics without a standard protocol. LCP lets carriers and shippers share a common digital language, enabling large-scale, intelligent supply chains.

January 23, 2026

by Balaji Solai Rameshbabu

· 1,319 Views

Securing AI/ML Workloads in the Cloud: Integrating DevSecOps with MLOps

ML systems introduce security risks most teams aren’t prepared for. The piece explores emerging ML-specific threats and what effective MLSecOps looks like in practice.

January 23, 2026

by Igboanugo David Ugochukwu

CORE

· 2,669 Views · 1 Like

The Future of AI Integration: Why Model Context Protocol Is the New API

A deep dive into how the Model Context Protocol (MCP) redefines AI interoperability by standardizing the way agents connect to tools and data sources.

January 23, 2026

by Padmanabham Venkiteela

· 1,381 Views

Agentic AI with Bedrock and DynamoDB Integration

This article walks through how to build an Agentic AI customer service agent using Amazon Bedrock, DynamoDB, and AWS Lambda via Boto3.

January 22, 2026

by Balakumaran Sugumar

· 3,862 Views · 1 Like

The Latest Popular Topics