DEV

Viral launches, press spikes, and overnight traffic surges have a way of exposing every shortcut taken during early development. This episode of Development examines how Django and Python equip engineering teams to build web applications that hold up under real-world growth — drawing on the insights from this in-depth guide to scalable Django and Python development . From foundational framework ch...

When an AI-powered feature makes a user wait ten seconds before responding, the culprit is often invisible to the people who built it: a cold-starting container grinding through image pulls, runtime initialization, and multi-gigabyte model weight loading before serving a single prediction. This episode of Development explores why AI inference cold starts demand special treatment , how they differ...

Choosing a backend technology is one of those decisions that quietly shapes everything downstream — your team's productivity, your hosting costs, your ability to scale. This episode of Development tackles one of web development's most enduring debates by drawing on the DEV guide comparing PHP and Node.js for modern web projects , turning a thorough technical breakdown into a practical framework an...

Training a machine learning model to impressive benchmark numbers is a milestone — but it's not the finish line. The journey from a clean development notebook to a trustworthy production system is its own distinct engineering challenge, and one that trips up even experienced teams. This episode draws on this practical guide to ML model deployment to walk through the strategies, patterns, and safeg...

Most businesses are running AI tools that handle surface-level tasks — and if those tools disappeared tomorrow, little would change. The companies pulling ahead aren't using fancier off-the-shelf software; they're building AI systems shaped entirely around their own data, rules, and workflows. This episode of Development draws on the full guide to custom AI software development to walk through eve...

PHP makes it easy to move fast, and that's precisely where the trouble starts. The same flexibility that lets teams ship quickly creates a gravitational pull toward shortcuts that look harmless in the moment but compound into serious problems over months and years. This episode of Development draws on the five PHP mistakes that quietly wreck your codebase to walk through the patterns that trip up...

The convenience of public AI APIs is hard to argue with — until the moment it isn't. This episode of Development examines the growing enterprise movement away from rented, third-party models and toward privately owned, custom-built LLMs, drawing on the case for building versus renting large language models . For organizations where data sensitivity, regulatory exposure, or product reliability is o...

Context windows keep growing, but bigger doesn't mean better — or cheaper. This episode of Development tackles one of the most consequential engineering challenges in building LLM-powered applications: deciding deliberately what goes into each prompt, what gets left out, and how to manage the cumulative cost of every token you send. Drawing on the token budgeting strategies for long-context LLM ap...

Java has a reputation problem — not because of what it is today, but because of what it used to be. This episode of Development takes a clear-eyed look at the Java ecosystem in 2025, drawing on the full analysis of whether Java is still worth it to separate outdated assumptions from current engineering reality. Whether you're defending an existing Java investment or weighing it as a greenfield cho...

Choosing between Flask and Django is one of the most common decisions in Python web development — and also one of the most misunderstood. This episode of Development breaks down the core philosophies behind both frameworks, drawing on the Flask vs. Django framework comparison guide to give developers a practical, context-driven way to think about the choice. Rather than declaring a winner, the epi...

Private large language models are rapidly becoming essential infrastructure for organizations that need AI capabilities without sacrificing control over their data. In this episode, we explore the full lifecycle of custom LLM development — from model selection and fine-tuning through deployment, agentic orchestration, and ongoing operations — based on a detailed breakdown published on the DEV.co b...

In this episode, Alex and Molly walk through DEV.co's comprehensive guide on the pros and cons of using open source software for custom development projects . Whether you're a startup choosing your first tech stack or an enterprise evaluating alternatives to expensive proprietary licenses, this conversation covers the benefits, the risks, the history, and the practical decision-making framework yo...

Episode summary: Choosing a learning management system is no longer a minor software decision. For growing companies, an LMS can become the operating system for onboarding, compliance, enablement, customer education, and internal knowledge transfer. In this episode, we take the DEV.co article “Learning Management Software (LMS): How to Choose & Custom Develop Your Company LMS” and expand it in...