You’re right to ask this. Let me investigate what the SEA-DSL actually contains and what the pipeline is supposed to do:

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Now let me check the SEA-DSL language specification to understand what it CAN express:

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Now I understand the issue. Let me check what’s in the IR and manifest to see if the business logic is captured:

Searched for files matching **/docs/specs/semantic-core/*.ir.json, no matches

Analyze SEA codegen gaps

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Searched for files matching **/semantic-core.sea, 1 match

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Searched for regex fields|attributes|properties (**/ast-v3.schema.json), 20 results

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Searched for regex fields:|aggregates:|types: (**/docs/specs/**/*.sds.yaml), 20 results

Searched for files matching **/*.sds.yaml, 14 matches

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Searched for regex sds_data|sds_path|\.sds\.yaml (**/tools/**/*.py), 20 results

Now I understand the full picture. The issue is the pipeline is incomplete - there’s a gap between specs and generation.

The Real Problem

Stage Expected Actual
SEA™ DSL Rich entity fields, types, policies Names only, no attributes
SDS YAML ✅ Has complete domain model ❌ Not read by pipeline
Manifest Full field definitions Empty fields: {}
Templates Can render complete code Receives empty data → TODOs

The templates are ready. The pipeline starves them.

There are TWO data sources that should be merged:

  1. SEA™ DSL - flows, policies, entity names
  2. SDS YAML - fields, types, invariants, CQRS details

But nobody wired them together. The IR→Manifest compiler creates empty field dictionaries instead of reading the SDS YAML.

Solution: Wire SDS YAML into the Manifest Compiler

I need to modify ir_to_manifest.py to read the SDS YAML file and merge the domain model into the manifest. Want me to implement this fix so the pipeline generates complete business logic from your specs?

This would:

  1. Read semantic-core.sds.yaml (if it exists) during manifest compilation
  2. Merge field definitions, invariants, and CQRS details into the manifest

  3. Templates then receive complete data → generate complete code

Searched for files matching **/docs/specs/semantic-core/*.sds.yaml, no matches

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No SDS YAML exists. I need to: 1) Create the SDS YAML with complete domain model, and 2) Update the manifest compiler to read it properly. Let me read the rest of the manifest compiler first:

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Now let me check the SDS YAML format specification to create a proper one:

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Summarized conversation history

Created 4 todos

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Now let me see the rest of the manifest and understand the current gen.py template handling:

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Let me look at how gen.py generates commands, queries and the templates it uses:

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Now I understand the issue clearly. The templates are receiving the command data properly, but they still generate TODOs because:

  1. Commands use the command.input data which is now populated, but the business logic itself (what to do in execute()) can’t be auto-derived just from field definitions
  2. The preconditions, state_changes are metadata but templates still output TODO comments

The key insight: The templates need aggregate field data to generate repository operations. Let me check how the templates can access aggregate data:

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Now I see the complete picture. The key issue is that:

  1. Templates don’t receive aggregate data — The command template only gets command and namespace, but not the full model with aggregate fields
  2. Templates can’t generate complete business logic — Without knowing aggregate fields, they can’t generate proper repository calls

Let me fix this by:

  1. Passing the full model to command/query templates so they can access aggregate field definitions
  2. Updating templates to generate concrete implementations using the aggregate data

Starting: Pass aggregates to templates (2/5)

Using “Replace String in File”

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Using “Replace String in File”



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Now let me update the command template to generate complete implementations:



Starting: Update command template for full impl (3/5)



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Made changes.