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cff-version: 1.2.0
message: "If you use this software or the method it implements, please cite it as below."
type: software
title: "ai-fication-kit: a methodology for making legacy codebases AI-native and trustworthy through scaffolded, human-verified context"
abstract: >-
ai-fication-kit scaffolds a provenance-tracked repository-intelligence layer
(maps, feature catalogs, conventions, decision records) into any legacy
codebase, then guides an AI coding agent through a bootstrapping pass whose
every claim is tagged [inferred] until a human audits it to [verified].
Deterministic observation (the orient step) is strictly separated from model
inference (the cold-start step), and a verification workflow keeps the
generated knowledge mechanically honest against the code.
authors:
- family-names: "Suri"
given-names: "Kunal"
orcid: "https://orcid.org/0000-0002-2341-5343"
affiliation: "CEA LIST"
license: Apache-2.0
repository-code: "https://github.com/kunalsuri/ai-fication-kit"
version: 0.2.0
date-released: 2026-07-03
keywords:
- AI coding agents
- repository intelligence
- legacy code
- human-in-the-loop
- Claude Code
- software engineering
# After the first Zenodo release, uncomment and set the concept DOI (bare form, no URL):
doi: "10.5281/zenodo.20860637"