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Finite VDC Engineer Challenge #1 — Make the Wall Editable #24
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area:appDesktop application, interaction, and renderingDesktop application, interaction, and renderingarea:geometryGeometry contracts, kernels, topology, and tolerancesGeometry contracts, kernels, topology, and tolerancesarea:modelSemantic BIM model and validationSemantic BIM model and validationchallengeTime-bounded public contribution challengeTime-bounded public contribution challengehelp wantedExtra attention is neededExtra attention is neededsize:mCoordinated vertical sliceCoordinated vertical slicestate:readyReady for a contributor to claimReady for a contributor to claim
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area:appDesktop application, interaction, and renderingDesktop application, interaction, and renderingarea:geometryGeometry contracts, kernels, topology, and tolerancesGeometry contracts, kernels, topology, and tolerancesarea:modelSemantic BIM model and validationSemantic BIM model and validationchallengeTime-bounded public contribution challengeTime-bounded public contribution challengehelp wantedExtra attention is neededExtra attention is neededsize:mCoordinated vertical sliceCoordinated vertical slicestate:readyReady for a contributor to claimReady for a contributor to claim
The challenge
Turn Rustit's first semantic wall from a rendered proof into the smallest credible authoring loop:
This is a coordination challenge, not permission to combine everything into one pull request. Claim one work packet, use whatever responsible AI coding workflow helps you, and return evidence through the normal review process.
Work packets
Author the semantic wall
Navigate and identify
Strengthen geometric truth
Challenge exit condition
Challenge #1 is complete when a fresh contributor can:
cargo xtask verify;Each behavior must be backed by a focused test or truth fixture. Interactive behavior also needs a reproducible live check.
How to participate
VISION.md,AGENTS.md, and the work packet you want.cargo xtask verify.Domain experts can contribute without writing Rust: review Wall Lab dimensions, interaction expectations, terminology, failure cases, and whether the result resembles a useful authoring workflow.
Scoreboard
Progress is measured by merged packets, strengthened fixtures, regressions caught, and returning contributors—not prompts, tokens, or generated lines.
No customer data, proprietary model files, credentials, or licensed classification catalogs may be used.