The Future of Engineering Teams: Humans Guide, Agents Code

Vibe coding involves using AI to code something you wouldn't be able to code yourself, often accompanied by a deep work environment, like listening to electronic music.

Coding with AI involves making solid decisions on how to structure code, place components, and what actions to take, as opposed to the more experimental nature of vibe coding.

The agenda includes discussing binary reality and delegation problems, common failure points with coding agents, nine levels of coding agents, cloud code, root code, and possibly doing some programming together using VS Code.

One story mentioned is about Leo, who claimed that building SaaS businesses costs $0, but faced issues when his application attracted malicious users, leading to its shutdown.

ShapeUp is a set of principles used to manage development cycles, focusing on appetite for features and scope hammering to release features within set timeframes. It is applied to AI coding to structure work and manage project timelines.

Challenges include poor code quality, wrong tool selection, over-engineering, lack of holistic view of the codebase, hallucinations due to outdated documentation, and inadequate documentation.

The proposed cycle is a two-week development cycle, starting with planning and schematics, followed by two days of coding and integration with existing systems.

Future roles may include product engineers, who combine product management and software engineering skills, and AI overseers, who focus on strategy and feature management.

Super users often solve problems with code, avoiding spending money by investing time in learning, which can lead to overly complex or unnecessary solutions.

Precision is crucial in AI coding as it ensures clear communication with AI models, leading to more accurate and effective coding outputs. Precise prompts help guide AI in generating desired results.