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cff-version: 1.2.0
message: "If you use AIGX or its benchmark, please cite it as below."
title: "AIGX: AI Genome Exchange - A Benchmark-Validated Context Format for AI Coding Agents"
abstract: >-
AIGX (AI Genome Exchange) is an open context format for AI coding agents that stores a codebase's rules
in a centralized .aigx/ directory with a per-file boundary index, injecting nothing into source code. In
a controlled benchmark holding the rule set constant and varying only the context format, AIGX ranked
first on mean score, pass@1, and hidden-test pass rate on both Claude Haiku 4.5 and Claude Sonnet 4.6 at
n=60, and survived roughly two dozen deliberate attempts to beat it. The top formats are statistically
tied on the composite mean; AIGX's defensible edge is cross-model consistency, robustness under
challenge, simplicity, and being the only format validated in a controlled benchmark.
type: software
authors:
- family-names: Parisotto
given-names: Grégory
email: gregory@feex.it
keywords:
- AI coding agents
- context engineering
- context format
- LLM
- agent instructions
- code generation
- developer tools
- benchmark
- agentic AI
- prompt engineering
- software development
license: MIT
version: "1.1"
date-released: "2026-06-15"
url: "https://github.com/Lolner95/AIGX"
repository-code: "https://github.com/Lolner95/AIGX"
preferred-citation:
type: software
title: "AIGX: AI Genome Exchange - A Benchmark-Validated Context Format for AI Coding Agents"
authors:
- family-names: Parisotto
given-names: Grégory
year: 2026
url: "https://github.com/Lolner95/AIGX"