ALLOC42 / ARCHITECTURE FIELD GUIDE / 001

MAKE EXPERTISE
DEPLOYABLE.

Give your team’s knowledge a useful place in everyday work. DevBridge and Alloc Fabric are available to private customers. This guide introduces the approach; contact us to explore how it can fit your tools and workflows.

1. Start with a capability

Name the useful outcome: review an architecture, check a user story, or plan regression tests. Calling code should be able to request that outcome without carrying a provider name and a block of prompt text through the application.

Run("UserStory_AddOrUpdateQuality", request)
  → resolve capability + catalog version
  → attach relevant organizational instructions
  → choose configured implementation
  → execute with bounded permissions
  → collect output and review evidence

2. Package the knowledge

Reference architectures, domain definitions, working examples, rubrics, and prompts become reviewed catalog entries. Each bundle needs a version, an owner, an expected output, and a way to tell whether a change helped. Keep private knowledge within the boundaries agreed for the actual deployment.

3. Meet the existing toolchain

• IDE: deliver relevant guidance and review practices where engineers change code.
• CLI: provide bounded tasks with explicit inputs, outputs, and checkpoints.
• Repository: version recipes and instructions so changes can be reviewed alongside code.
• CI: run repeatable evaluation and regression checks before carrying a change forward.

These are integration patterns to scope against your environment. Provider access, data handling, permissions, and operational requirements must be settled for each implementation.

4. Resolve through a fabric

Alloc Fabric separates a named capability from providers, models, and runtime details. Configuration can select an implementation, while record/replay and comparisons provide a way to inspect behavior. The goal is to make change observable and reversible.

5. Keep the learning loop

Start with a small reference set. Review outputs against a rubric, capture failure cases, and compare versions before changing what people rely on. A prompt that sounds better is a hypothesis; a repeatable evaluation makes it testable.

TRY THE INTERACTIVE EXAMPLE ↗

Pick one useful first slice

Bring a repeated workflow, the tools your people use, and the knowledge they keep reconstructing. We can identify one capability and a concrete way to evaluate it.

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