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It’s Always Been Vibes

Coding pre and post ai isn’t as different as you think. This talk presents principles and techniques that apply with or without AI to help you build faster and ship sooner.

This talk has been presented at React Summit US 2025, check out the latest edition of this React Conference.

FAQ

Vibe coding is a style of programming where developers use AI to assist with coding tasks, providing voice instructions to large language models (LLMs) to build software. It emphasizes iteration, domain knowledge, and reviewing AI-generated code, similar to traditional coding practices.

Vibe coding involves using AI tools to assist with research and typing, allowing developers to focus on thinking and iterating. Unlike traditional coding, it emphasizes high-quality context and examples, and requires the programmer to verify AI-generated code.

Domain knowledge is essential in vibe coding because it enables programmers to effectively prompt AI with high-quality context, ensuring accurate and relevant outputs. This expertise allows for successful integration of AI tools into the development process.

Key tips for successful vibe coding include knowing your domain, reading every line of AI-generated code, providing high-quality context and examples, iterating piece by piece, and verifying the functionality of the code.

AI and vibe coding are expected to complement the work of software engineers, not replace them. Engineers will continue to build and iterate on projects, using AI to assist with tasks while maintaining the need for domain knowledge and problem-solving skills.

Recommended platforms for deploying vibe-coded web apps include Linode for server hosting, Repl.it for development and hosting, and Raspberry Pi for hosting specific applications like Grafana dashboards, often using tools like tail scale for remote access.

Vibe coding allows developers to quickly and efficiently build personal software projects by leveraging AI tools. This approach enables the creation of unique and customized solutions, like personal apps, with less time investment and the ability to iterate on the go.

Challenges include the need to verify AI-generated code for accuracy, the potential for AI to provide incorrect information, and the necessity for programmers to provide high-quality context and domain knowledge to achieve deterministic results.

Examples include a custom Disney app for personal use, an outdoor garden monitoring system with real-time metrics, and a hunting app with waypoints and camera integration. These projects highlight the flexibility and creativity enabled by vibe coding.

While some individuals outside the traditional software field may express skepticism, within the professional community, both junior and senior engineers are generally open to experimenting with AI and vibe coding, seeing it as a tool to enhance their work.

best practices

Ken Wheeler

29 min

18 Nov, 2025

Comments

Video Summary and Transcription

Welcome to New Jersey. The AI landscape poses challenges in distinguishing valuable content from noise. Two camps exist: excited AI promoters and silent users. Vibe coders face stereotypes and labels in this dynamic field. Vibe coding, derived from a tweet, resembles our daily coding tasks. LLMs assist in research and typing, akin to our processes. Comparison to Prettier shows the potential impact of improved LLM capabilities. Emphasis on domain knowledge in coding. Experience crucial for effective coding results. Understanding fundamentals essential for successful programming. Reading every line is crucial in coding. Provide relevant context and examples. Question everything to avoid being misled. Determinism in using AI is crucial. Utilize high-quality context, tools, and examples for better outcomes. Vibe coding can be beneficial with proper structuring and tools usage. Coding adjacently with vibe coding agents for personal software projects. Building a personalized Disney app for quick access and efficiency while multitasking. Building personalized features like locating turkey legs, utilizing mousketool.ai for tailored experiences, and integrating Repl.it for immersive vibe coding sessions. Creating a map with markers for hunting, integrating a tablet for mission objectives, and developing a personalized app for waypoint tracking. Utilizing a vibe coded app for navigating in the woods and showcasing hardware vibe coding with a hydroponic garden. Automated gardening system for indoor plants, Wyze cam setup for outdoor monitoring, and interaction with OpenAI for feedback on plant status. Development of an official setup with Chad GVD involving solar controller, Raspberry Pi, relays, soil moisture sensors, and a battery. Setting up SSH, tail scale, and Cloud Code for remote access and intense VIBECODING to create temperature scripts and Grafana dashboard for real-time garden metrics. Installing Cloud Code, VIBECODING intensely, and setting up Grafana dashboard for real-time garden metrics remotely. Discussing the impact of vibes on future engineers, considering the role of AI and the evolving nature of engineering in the next five years. Discussing the evolving nature of software engineering, challenges with 3D modeling tools, and the time disparity between software and hardware development in a project. Discussing the rapid development process, iteration in hardware and software, and the importance of caring about the project for effective iteration cycles. Discussing challenges of bootstrapping, overcoming stigma in the tech community, deploying web apps using AI for dev-ops, and hosting Plant Grafana on Raspberry Pi.

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