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Disciplined AI Software Development
A method for building software with AI using constraints, checks and evidence.
Day 43 since launch · Launched 25 August 2026
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What is Disciplined AI Software Development?
Disciplined Methodology is a way of building software with an LLM that writes most of the code. It replaces reminders with automated checks, chat history with files in the project and confidence with evidence. It includes the Pattern Abstract Grammar (PAG) for writing LLM instructions, an architecture and a queryable ontology.
Pros
- Replaces reminders with automated checks
- Keeps project state in files, not chat history
- Free, with every page also served as Markdown and JSON
Cons
- Written for agents with tool access; web chat needs extra manual steps
- Takes discipline to adopt fully
Who should use Disciplined AI Software Development
Developers who let an AI write most of their code and want it to stay maintainable.
Who may not need it
People using AI only for quick snippets.
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