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Use cases

Targeted feature slices in an existing codebase

A clearly scoped story is added to a large application: broken into manageable slices, each with its own test, without anyone having to load the entire codebase.

Illustration for the use case “Targeted feature slices in an existing codebase” (decorative)

Case study in full

Example scenario

Stack profile: typescript-node-20-express · Example scenario with typical orders of magnitude.

An existing application gains one clearly scoped story, such as an additional API field with validation and persistence. The codebase is too large to load into a prompt. The run therefore works portion by portion: each slice gets exactly the context it needs and leaves its commit.

What stays with your team: You write and prioritise the story. You approve the plan before execution, and the merge stays with you.

What you need

How the run works

  1. The story is read from the tracker and broken down into a plan with individual slices.
  2. Each slice works on one bounded portion of the codebase.
  3. Implementation and validation run per slice, with tests for the new code path.
  4. A slice that fails its check is reworked before it flows into the overall state.
  5. The result arrives as a pull request in your repository, linked to the story.

What you get

Key figures

Scope

Stories/tickets
1
Slices
7
Files/modules
19

Throughput

Validated slices
7
Retries
2
Human interventions
2

Quality

Checks run
Unit Tests, Integration Tests, Lint
Gates passed
4
Gates failed
0

Resources

Prompt tokens
100000
Completion tokens
40000
Cache tokens
130000
Model calls
40
Sandbox runtime
15 minutes
Model/stack context
Stack: Node.js with TypeScript, layered architecture (profile typescript-node-express-layered).

What stayed open

Nothing open.