Why does AI struggle with large and messy codebases? Ambiguity, implicit assumptions, and scale break alignment and reliability.
I propose a map-first workflow called LayeredDSL: a structured YAML metamodel defining domain types, business logic, components, UI, workflows, security, and mapping metadata. Think of it as a single source of truth—AI and developers both work from the same map. Once defined, AI scaffolds or validates code deterministically.
Reduces hallucinations
Ensures traceability and alignment
Enables cross-language and cross-service portability.
This agent library can use functions and call on itself until it finds a way to answer to the user. It’s not a real, complete artificial general intelligence, it’s really extremely far from it actually, but it’s a nice experiment in that direction.
An AI agent powered by OpenAI, designed to process and respond to messages using the OpenAI API and integrate tools as functions. This agent is built to be flexible, efficient, and easy to integrate into various applications.
Hello dinkblam, thank you for discovering this elaborate scam about agi. I am going to tell my marketing people that Christmas won't be the same this year.
Hello liliumregale, thank you for your brilliant and constructive criticism.
For version 2 my repo is going to contain a REAL AGI!! Then you are going to be able to code your, only friend.
An advanced AI agent powered by OpenAI, designed to process and respond to messages using the OpenAI API and integrate tools as functions.
This agent is built to be flexible, efficient, and easy to integrate into various applications.
PERT is about more reliable time estimations. This is crucial when talking to a customer, for internal resources organisation and pricing strategy.
This article comes with links to templates on Google Sheets and Notion.
I propose a map-first workflow called LayeredDSL: a structured YAML metamodel defining domain types, business logic, components, UI, workflows, security, and mapping metadata. Think of it as a single source of truth—AI and developers both work from the same map. Once defined, AI scaffolds or validates code deterministically.
Reduces hallucinations
Ensures traceability and alignment
Enables cross-language and cross-service portability.
Repo is here: https://github.com/AlessandroAnnini/layereddsl Keen to hear from those building real AI‑driven development systems.