The Software Development Monthly is a monthly blog post that shares interesting or useful content which I consumed during the previous month. This blog post is always published on the eight day of the month.
Let's begin!
AI
Loop Engineering provides an introduction to loop engineering where developers design automated feedback loops that programmatically prompt and orchestrate AI agents.
AI-assisted engineers are burning out, is this fine? explains why AI assisted software development can cause burnout and provides five tips that help developers to maintain a sustainable workflow.
Vibe Coder vs Software Engineer explains the difference between a vibe coder and a software engineer.
OpenAI Losses Increased Nearly 8X in 2025 reveals that, according to audited financial documents, OpenAI lost $38.5 billion in 2025.
Did AI Just Break Software Security For Ever? argues that because AI assisted vulnerability research increases the number of vulnerabilities patched in active and well-maintained code bases, the software which uses end-of-life versions becomes exposed to rapid exploitation.
Tool Calling in Spring AI 2.0: A Composable, Agentic Architecture describes how Spring AI 2.0 improves the tool calling architecture by adding better support for customizing and extending the tool calling loop.
Self-Correcting Structured Output in Spring AI 2.0 introduces the improvements to Spring AI's structured output support that were released in Spring AI 2.0.
Why Your Codebase Is Forcing AI to Underperform, and What to Do About It explains why unused code is a problem and describes how we can safely remove it by using an AI agent to analyze and clean up our code base.
Software Development
Performance Improvements in JDK 26 highlights the notable performance improvements introduced in JDK 26.
Spring Boot Migration and the CRA: When Good Enough Isn’t explains how the upcoming EU Cyber Resilience Act introduces compliance liabilities for organizations running unsupported and vulnerable software.
Spring vs Quarkus vs Jooby vs Vert.x: Pick Your Next Java Framework compares four Java frameworks, and identifies the pros and cons of each framework.
Don't Pollute Your Spring Boot Main EntryPoint Class explains why it's not a good idea to include "unnecessary" configuration in the Spring Boot's entry point class.
Spring Boot 4.1 Adds gRPC Auto-Configuration, SSRF Mitigation, and Kotlin 2.3 Support highlights the major improvements introduced in Spring Boot 4.1.
MongoDB-backed Spring Batch jobs and more in Spring Boot 4.1 describes how we can write Spring Batch jobs which store the metadata in a MongoDB database.