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Intent first, stacks second: why Topogram centers contracts

Topogram chains three layers: Spec — durable intent in topo/ (.tg statements, projections, widgets, SDLC records, and supporting docs). Contract — the engine validates and resolves that graph into normalized semantics per surface (sc…

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Topogram chains three layers:





  1. Spec — durable intent in topo/ (.tg statements, projections, widgets, SDLC records, and supporting docs).


  2. Contract — the engine validates and resolves that graph into normalized semantics per surface (screens and widget bindings on a ui_contract, endpoints on an api_contract, tables on a db_contract, and so on).


  3. Slicetopogram query slice returns a context_slice: one focus (task, widget, journey, projection, …), its depends_on closure, summary payloads, and related summaries—without loading the whole workspace into context.



Projection type is how contracts divide the problem: ui_contract vs web_surface / native surfaces, api_contract, db_contract, cli_surface.






Spec snippet → slice payload



Author intent in topo/ (example: a reusable widget):




widget widget_data_grid {
patterns [resource_table, data_grid_view]
regions [results, toolbar]
}






Ask for a bounded packet:




topogram query slice ./topo --widget widget_data_grid --json






You get a context_slice object: focus (what this slice is about), depends_on (IDs in closure order), summary (normalized semantics for that focus), optional agent_guidance (read_first, next_queries), plus related, verification_targets, ownership_boundary, ui_agent_packet, and other fields omitted below for length.



Representative excerpt (shape matches CLI output from the app-basic fixture workspace):




{
"type": "context_slice",
"focus": { "kind": "widget", "id": "widget_data_grid" },
"depends_on": {
"shapes": ["shape_output_item_card"],
"projections": ["proj_ui_contract", "proj_web_surface", "proj_web_surface_react"],
"capabilities": [],
"entities": [],
"widgets": [],
"verifications": []
},
"summary": {
"kind": "widget",
"id": "widget_data_grid",
"name": "Data Grid",
"description": "Reusable tabular display for item rows",
"patterns": ["data_grid_view", "resource_table"],
"behavior": ["selection", "sorting"],
"regions": ["results", "toolbar"]
},
"agent_guidance": {
"mode": "implementation",
"read_first": [
"focus",
"summary",
"depends_on",
"related",
"standing_rules",
"verification_targets",
"write_scope"
]
}
}






Same pattern for --task, --journey, --projection, and other selectors: one focus, explicit dependencies, and summaries rather than the whole graph.






Benefits





  • Portable semantics — one graph backs UI, API, DB, CLI intent.


  • Slice-first workflows — humans and agents load contract-shaped packets keyed to one surface or SDLC artifact instead of scraping the repo.






Tradeoffs





  • topo/ authoring cost pays off when shared intent matters more than one-off edits.

  • Semantic contracts intentionally stop short of pixel-perfect CSS or every framework detail.






Bottom line



Spec → contract → slice: declare intent once, resolve it into portable semantics, then pull only the closure you need into an actionable packet.

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