rules of thumb for when to take blog posts about AI coding seriously:
- must be using the latest state of the art model from the big US labs
- must be on a three digit USD per month plan
- must be using the latest version of a full major harness like codex, opencode, pi
- agent must have access to linting, compilation tools and IDE feedback
- user must instruct agent to use test driven development and write tests for everything and only consider something done if tests pass
- user must give agent access to relevant documentation, ie by cloning relevant repositories etc
- user must use plan mode and iterate until happy before handing off to agent
- (list is growing every month)
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if the author of a blog post about AI coding doesnt respect all of these, reading his blog posts is a waste of time because he doesn't follow best practices
- must be using the latest state of the art model from the big US labs
- must be on a three digit USD per month plan
- must be using the latest version of a full major harness like codex, opencode, pi
- agent must have access to linting, compilation tools and IDE feedback
- user must instruct agent to use test driven development and write tests for everything and only consider something done if tests pass
- user must give agent access to relevant documentation, ie by cloning relevant repositories etc
- user must use plan mode and iterate until happy before handing off to agent
- (list is growing every month)
---
if the author of a blog post about AI coding doesnt respect all of these, reading his blog posts is a waste of time because he doesn't follow best practices