Frontend Analysis

Frontend Analysis (FA) is a research-driven project for building explicit, evidence-backed representations of frontend platform semantics.

The project studies the frontend platform as several distinct but interacting semantic domains rather than treating source code as a single undifferentiated syntax tree.

Primary research domains currently include:

• HTML
• CSS
• ECMAScript

Each domain is investigated independently first, with cross-domain behavior introduced only when there is sufficient evidence to justify the interaction.

FA is not intended to be another general-purpose parser, linter, or conventional AST library.

Its purpose is to determine which semantic facts are actually required for reliable analysis and to preserve those facts with clear provenance.

The project follows a falsification-first research process:

normative authority → bounded semantic question → independent oracle → positive and negative witnesses → falsification → accepted evidence → production representation → regression coverage → next research frontier

Production behavior is not treated as the source of truth.

Where appropriate, an independent oracle is established before production implementation so that the implementation can be tested against a separately derived expectation.

Representations are also kept deliberately narrow.

FA does not generalize a model merely because a broader abstraction appears convenient. A representation is widened only when an observed semantic requirement, consumer need, or accepted research result justifies doing so.

This allows the project to preserve distinctions such as:

• authored source occurrences
• semantic contributors
• source ordering
• duplicate occurrences
• declaration propagation
• semantic ownership
• source correspondence
• evidence provenance

without automatically retaining every syntactic detail.

The long-term objective is to provide a trustworthy semantic substrate for frontend analysis.

Potential consumers include tooling and AI systems performing tasks such as:

• source inspection
• debugging
• refactoring
• migration
• replacement analysis
• semantic comparison
• transformation
• repository-scale frontend reasoning

A key motivation is reducing reliance on purely probabilistic interpretation of source code.

Instead of asking an AI system to infer everything directly from raw frontend text, FA aims to expose bounded semantic facts whose meaning, ownership, and evidence lineage are known.

The project is intentionally incremental.

HTML, CSS, and ECMAScript each maintain their own research frontier, evidence lineage, accepted capabilities, and unresolved questions.

Individual research records sit beneath those domains so that the history of a capability can be followed from the original semantic question through falsification and eventual production acceptance.

Frontend Analysis therefore treats implementation as the consequence of research, not the replacement for it.

Github - FA

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