Scaling LLMs to larger codebases
K
kierangill.xyz 8
High resonance Write Soon
This article strongly resonates and has clear angles for your perspective
Quick Take
This hits directly on Brian's sweet spot of AI tooling for engineering productivity. The author's practical framework for "guidance vs oversight" and the concept of "one-shotting" with LLMs maps perfectly to Brian's experience building AI-powered dev workflows and his interest in engineering craft at scale.
Relevant Domains
AI/agents/future of software work - Core focus on scaling LLMs for larger codebases Engineering craft/architecture/productivity - Heavy emphasis on clean code, modularity, and design patterns Side projects/automation/earning from skills - Direct applications to his automated workflows
Blog Angles
1
"The Real Cost of Bad Prompting: Why I'm Building a Prompt Library for My Side Projects"
Thesis
Your Hook
2
"Your Codebase is Your Context: Lessons from 3 Years of AI-Assisted Development"
Thesis
Your Hook
3
"Building Bumper Rails: How I Automated Code Review for My Solo Projects"
Thesis
Your Hook
4
"The One-Shot Test: A Simple Framework for Evaluating AI Code Generation"
Thesis
Your Hook
Key Quotes
One-shotting
LLMs are choice generators
Tags
#ai-coding
#llm-productivity
#prompt-engineering
#code-architecture
#automation-workflows
#technical-debt
#engineering-craft