The Breakpoint

The Latest

Five of the most interesting recent dev tool (or dev tool-adjacent) launches on the site. 

Pierre is an AI-powered code review assistant that streamlines collaboration by providing smart suggestions and catching issues faster. It helps developers spend less time on feedback loops and more time shipping quality code.

Neobase is an AI-powered copilot that helps developers query, manage, and optimize databases faster. It simplifies database interactions with natural language queries and smart insights, reducing the need for manual SQL writing.

SmolVLM2 is a lightweight vision-language model designed for efficiency and adaptability. It enables AI applications to process and understand images with minimal computational cost.

AI Dev is an AI-powered coding assistant that helps developers generate, debug, and optimize code faster. It integrates into workflows to provide real-time suggestions and automate repetitive tasks.

Komment is an AI-powered code review tool that helps developers write cleaner, more efficient code. It automates feedback, detects issues, and suggests improvements directly within your workflow.

Do it for the vibes

Coding used to be about writing every line yourself, structuring logic, and debugging for hours. Now, vibe coding is shifting that approach. The term, coined by Andrej Karpathy, describes a new way of working where developers guide AI to generate code instead of writing it manually. Instead of focusing on syntax, they describe what they need and refine the AI’s output until it works.

Pieter Levels recently tested this idea by building a flight simulator in 48 hours with AI doing most of the coding. He didn’t write everything from scratch but worked with AI tools, adjusting and improving the generated code. Platforms like Cursor, Replit, and Lovable are making this process easier by letting developers focus more on the bigger picture instead of the technical details. Even GitHub Copilot is moving past simple code suggestions and taking on full coding tasks.

For some, this means faster development and fewer tedious tasks. For others, it raises concerns. If AI is doing more of the work, will future developers need to understand how their software actually functions, or will they just need to be good at prompting AI? If coding keeps moving in this direction, what does it really mean to be a developer?

Here’s what’s trending for developers 🔥 

Storing user data sounds simple until you actually have to do it. One option is giving every user their own schema, another is spinning up a separate database per user (maybe SQLite), and then there’s the DIY approach—filtering queries in the ORM. But with Supabase making Row-Level Security (RLS) the default move, more developers are leaning into it as the go-to solution.

But is RLS actually the best way to isolate customer data, or just the easiest because Supabase made it popular? And if it’s not, what’s the better alternative—something cleaner, something faster, or just crossing your fingers and hoping nobody peeks at someone else’s data?