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fix: enable DI for FeatureOptInService#13

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fix: enable DI for FeatureOptInService#13
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Benchmark PR from agentic-review-benchmarks#13

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Code Review by Qodo

🐞 Bugs (0) 📘 Rule violations (1) 📎 Requirement gaps (0)

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Action required

1. FeaturesRepository moduleLoader token mismatch 📘 Rule violation ⛯ Reliability
Description
packages/features/di/modules/FeaturesRepository.ts exports moduleLoader.token as the module
  token, but binds FeaturesRepository on FLAGS_DI_TOKENS.FEATURES_REPOSITORY, making DI resolution
  likely to fail at runtime.
• getFeaturesRepository() uses featuresRepositoryModuleLoader.token to resolve the repository,
  so the mismatch can throw and break any callers (including FeatureOptInService injection) without
  graceful degradation.
• This violates the requirement to identify and handle failure points (dependency resolution) with
  actionable context rather than letting runtime errors occur implicitly.
Code

packages/features/di/modules/FeaturesRepository.ts[R19-22]

+export const moduleLoader: ModuleLoader = {
+  token: moduleToken,
+  loadModule,
+};
Evidence
The compliance rule requires identifying and handling failure points. The new DI module binds the
class under one token but exports a different token for resolution; both container.get(...) and
dependency injection use moduleLoader.token, so this mismatch can cause a runtime exception that
is not handled or contextualized.

Rule 3: Generic: Robust Error Handling and Edge Case Management
packages/features/di/modules/FeaturesRepository.ts[7-22]
packages/features/di/containers/FeaturesRepository.ts[4-8]
packages/features/di/di.ts[94-105]

Agent prompt
The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
`packages/features/di/modules/FeaturesRepository.ts` binds `FeaturesRepository` to `FLAGS_DI_TOKENS.FEATURES_REPOSITORY`, but exports `moduleLoader.token` as `FLAGS_DI_TOKENS.FEATURES_REPOSITORY_MODULE`. Callers use `moduleLoader.token` for injection/resolution, so DI resolution can fail at runtime.

## Issue Context
`bindModuleToClassOnToken` binds the class on the provided `token` and injects dependencies using `dep.token`. Therefore `moduleLoader.token` must represent the binding token (the one used in `module.bind(token)`), not the module token used for `container.load(moduleToken, module)`.

## Fix Focus Areas
- packages/features/di/modules/FeaturesRepository.ts[7-22]
- packages/features/di/containers/FeaturesRepository.ts[4-8]
- packages/features/di/di.ts[94-105]

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Comment on lines +19 to +22
export const moduleLoader: ModuleLoader = {
token: moduleToken,
loadModule,
};

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Action required

1. featuresrepository moduleloader token mismatch 📘 Rule violation ⛯ Reliability

packages/features/di/modules/FeaturesRepository.ts exports moduleLoader.token as the module
  token, but binds FeaturesRepository on FLAGS_DI_TOKENS.FEATURES_REPOSITORY, making DI resolution
  likely to fail at runtime.
• getFeaturesRepository() uses featuresRepositoryModuleLoader.token to resolve the repository,
  so the mismatch can throw and break any callers (including FeatureOptInService injection) without
  graceful degradation.
• This violates the requirement to identify and handle failure points (dependency resolution) with
  actionable context rather than letting runtime errors occur implicitly.
Agent prompt
## Issue description
`packages/features/di/modules/FeaturesRepository.ts` binds `FeaturesRepository` to `FLAGS_DI_TOKENS.FEATURES_REPOSITORY`, but exports `moduleLoader.token` as `FLAGS_DI_TOKENS.FEATURES_REPOSITORY_MODULE`. Callers use `moduleLoader.token` for injection/resolution, so DI resolution can fail at runtime.

## Issue Context
`bindModuleToClassOnToken` binds the class on the provided `token` and injects dependencies using `dep.token`. Therefore `moduleLoader.token` must represent the binding token (the one used in `module.bind(token)`), not the module token used for `container.load(moduleToken, module)`.

## Fix Focus Areas
- packages/features/di/modules/FeaturesRepository.ts[7-22]
- packages/features/di/containers/FeaturesRepository.ts[4-8]
- packages/features/di/di.ts[94-105]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

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