The Latest and Popular SDLC Topics

LangChain With SQL Databases: Natural Language to SQL Queries

Building an SQL interface that is easy to use for NON-SQL users and provides immediate and accurate answers to business queries.

July 6, 2026

by Varun Joshi

· 1,224 Views · 1 Like

From Polling to PubSub: Building an Asynchronous OPC UA Stack in Python

The architectural design and engineering required to build a native, asynchronous OPC UA Pub/Sub (IEC 62541-14) stack in Python for the open-source opcua-asyncio library.

July 3, 2026

by Harshith Narasimhan Srivatsa

· 1,889 Views · 1 Like

Prompt Injection Attacks and Hidden Security Risks in LLM Applications

Prompt injection hijacks an LLM by exploiting its inability to separate data from commands. Direct and indirect attacks require layered defenses, not one fix.

July 3, 2026

by Karini Kapoor

· 2,991 Views · 2 Likes

OBO SSO in Java Applications: Securely Calling Downstream APIs on Behalf of a User

OBO (On-Behalf-Of) allows a Java API to securely call downstream services using the authenticated user's identity instead of the application's identity.

July 3, 2026

by Muhammed Harris Kodavath

· 1,877 Views · 3 Likes

Building an AI Agent That Responds to Real-Time Events With AWS Bedrock, Kinesis, DynamoDB, and S3

Build an AI agent that processes real-time events with Amazon Bedrock and a serverless AWS architecture powered by Kinesis, DynamoDB, and S3.

July 3, 2026

by Jubin Soni, FBCS

CORE

· 2,264 Views · 1 Like

Real-Time AI Feature Engineering With Spark Structured Streaming and Databricks Feature Store

How Spark Structured Streaming and the Databricks Feature Store work together to build point-in-time-correct features from Kafka events to streaming transformations.

July 2, 2026

by Jubin Soni, FBCS

CORE

· 2,335 Views

From Pilot to Production: The Six Agent Patterns That Determine Whether Your AI Program Scales or Stalls

Most AI agent programs don't fail because of technology. They fail because nobody owns the agent and nobody monitors it.

July 2, 2026

by BALAJI BARMAVAT

· 1,630 Views · 1 Like

Multi-Agent Software Engineering: One Coding Agent Isn't Enough

Multiple AI agents with clear roles and checks deliver real software better than one agent, but cost more and only suit large tasks.

July 2, 2026

by Jithu Paulose

· 2,139 Views

Dead Letter Queue Patterns in Apache Flink: Handling Poison Messages Without Stopping Your Stream

A poison message can trap a Flink job in a restart loop. Use side outputs, retries, tiered DLQs, durable sinks, and replay jobs to keep the stream running.

July 2, 2026

by Rohit Muthyala

· 2,896 Views

Why AI-Generated Code Is Making Regression Testing More Important, Not Less

AI-generated code introduces integration failures that spec-based tests cannot catch. Regression testing grounded in real production behavior is the fix.

July 1, 2026

by Sancharini Panda

· 1,903 Views

AI-Augmented React Development: How I Rebuilt My Workflow Without Losing Control of the Code

AI accelerates React 18 workflows but breaks down in large enterprise codebases. Here’s where it helps, where it fails, and the guardrails your team needs.

July 1, 2026

by Sathwik Nagulapati

· 2,408 Views · 1 Like

If You Can Facilitate a Retrospective, You Can Audit Your AI

Learn how the AI Delegation Audit helps Scrum teams inspect AI workflows, catch automation drift, and keep delegated AI work safe and accountable.

July 1, 2026

by Stefan Wolpers

CORE

· 1,847 Views · 1 Like

Loop Engineering: The Layer After Prompt, Context, and Harness Engineering

This article walks through all four layers side by side, with comparison tables for when to use each one and which agent architecture fits which job.

July 1, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,205 Views · 2 Likes

The New Senior Developer Job Description: Half Engineer, Half AI Systems Architect

Senior developers now own two roles: traditional engineering plus AI systems architecture. This split reshapes compensation, hiring, and what 'senior' actually means.

June 30, 2026

by Dinesh Elumalai

CORE

· 3,570 Views · 4 Likes

Architecting Trustworthy AI: Engineering Patterns for High-Stakes Environments

This post presents three domain-agnostic engineering patterns for building AI systems that remain safe even when the model is wrong.

June 29, 2026

by Sujay Puvvadi

· 1,593 Views

Building Production-Safe Agentic Remediation With Docker MCP Gateway: Lessons From 43% to 100% Accuracy

We built an AI Docker remediation system on MCP Gateway. First version: 43% correct. After 9 engineering fixes: 100%. Here's what changed.

June 29, 2026

by Mohammad-Ali Arabi

· 2,498 Views

Black Swan Bugs: Paving the Way for New Roles in Software Engineering

By outsourcing more of our thinking to probabilistic systems, we risk weakening the very human habit black swans demand: the habit of making the right questions.

June 29, 2026

by Stelios Manioudakis

CORE

· 3,202 Views · 3 Likes

Why Requirements Are Becoming the Control Layer in AI-Assisted Development

As AI generates more code and tests, requirements become the control layer that keeps delivery consistent, traceable, and aligned with the system context.

June 29, 2026

by Andrei Lavygin

· 1,524 Views · 1 Like