frontend-patterns/INTENT.md

INTENT

Status: preliminary · Reviewed: 2026-09-23

This records the initial direction inferred from the repository scaffold. The responsibility model, vocabulary and sequences remain hypotheses to test against sources and contrasting applications.

Mission

Establish frontend-patterns as a durable, framework-independent pattern language for frontend architecture and design.

The repository should help a human or software agent answer questions such as:

• What architectural problem am I actually trying to solve?
• Which forces are active?
• Which patterns are applicable?
• Which patterns conflict?
• Which decisions must be made before this one?
• What context will applying this pattern create?
• Which implementation approaches realize this pattern?
• What failure modes should I expect?
• Which evidence and known uses support the pattern?
• How does a named frontend architecture decompose into reusable patterns?

Why this exists

Frontend knowledge is fragmented across:

• framework documentation,
• architecture articles,
• rendering taxonomies,
• state-management schools,
• local-first research,
• microfrontend literature,
• design-system practice,
• accessibility guidance,
• performance engineering,
• distributed-systems concepts,
• GUI architecture traditions.

These sources often discuss similar forces using incompatible vocabularies.

The project aims to reconcile them into a coherent language.

Non-goals

The project is not primarily:

• a framework comparison site,
• a component cookbook,
• a list of React idioms,
• a collection of code snippets,
• a prescriptive "one true architecture",
• a popularity ranking of frontend technologies.

Implementation examples are useful only insofar as they illuminate patterns.

Desired properties

The language should be:

• Generative — capable of helping construct architectures.
• Relational — patterns explicitly connect to other patterns.
• Contextual — every pattern exists in a context with forces.
• Evidence-aware — claims distinguish observation, established practice and hypothesis.
• Multi-scale — patterns range from application topology to interaction details.
• Technology-independent — named tools map into the language but do not define it.
• Agent-readable — structured metadata supports retrieval and reasoning.
• Human-readable — prose explains why and when a pattern matters.
• Evolvable — concepts can mature without destabilizing the whole canon.

Success condition

The repository is successful when a practitioner or agent can start with a frontend problem description and derive a small, explainable configuration of compatible patterns, then map those patterns to implementation options.

Initial scope and maturity

The deliverable is a versioned Markdown knowledge base: vocabulary, patterns, relations, architecture decompositions, decision sequences, technology mappings and traceable evidence. A running application or framework is not required.

The current repository is a scaffold. Pattern families contain candidate lists; architecture descriptions and most sequences are research stubs. There are no completed canonical pattern records, technology mappings, graph exports or automated validators. The first source case is an initial interpretation, not a completed source review.

Preliminary priorities

1. Reconcile schema and template: stable identifiers, relation spelling, force identifiers, prerequisites, scales and evidence maturity need clear meanings.
2. Record identifiable sources with dates or versions and claim-level references; distinguish source claims, our interpretations and untested hypotheses.
3. Develop a small connected set of complete patterns before expanding the catalog. Each needs competing forces, consequences, failure modes and supporting evidence.
4. Exercise that set in contrasting server-authoritative and local-first scenarios. Record alternatives, decision sequences, resulting contexts and gaps.
5. Add metadata validation and graph export once the contract survives those examples.

Evidence of useful progress

A preliminary demonstration should trace an application problem through explicit forces to a connected pattern configuration and implementation options. Each selected pattern should have a stable identity, justified relations, traceable evidence and stated maturity. Explain rejected alternatives and unresolved forces.

Pattern count alone is not success. Progress should improve conceptual precision, evidence quality or the ability to explain a concrete design decision.

Open decisions

• Whether the nine responsibilities are sufficient and independent.
• How prerequisites differ from relations between patterns.
• How evidence maturity differs from editorial or publication status.
• How to represent patterns spanning multiple scales.
• Which metadata and evaluation cases enable reliable agent retrieval.

research/plan/ResearchProgram.md provides a provisional roadmap; its milestones describe planned work, not completed capabilities.