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How I code with AI right now

6chapters with key takeaways — read first, then watch
1

Introduction to AI-Powered Coding & LLM Security

0:00-3:593m 59sIntro
2

Planning a New Project with AI Agents

4:00-13:089m 8sConcept
3

Parallel Implementation with Git Work Trees & Model Comparison

13:08-23:5910m 51sArchitecture
4

Refining AI Code & Navigating Git Challenges

23:59-32:178m 18sDemo
5

AI for Code Reviews & Improving Model Reliability

32:17-43:3011m 13sUse Case
6

Advanced Agentic Workflows & The Future of AI Coding

43:30-55:4412m 14sConcept

Video Details & AI Summary

Published Dec 5, 2025
Analyzed Dec 11, 2025

AI Analysis Summary

This video details the speaker's evolved workflow for coding with AI, showcasing how tools like Cursor, OpenRouter, and AI SDKs are integrated into daily engineering tasks. It covers using AI agents for project planning, parallel implementation with Git work trees, comparing different AI models, and leveraging AI for code reviews. The speaker emphasizes improving AI reliability through tight feedback loops, detailed prompts, and verification harnesses, ultimately leading to increased productivity and a renewed enjoyment in software development.

Title Accuracy Score
10/10Excellent
53.7s processing
Model:gemini-2.5-flash