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fix(dev-agent): Add internet access fallback to analysis workflow 

This commit enhances the resilience of the `implement-story-with-review` task by adding a graceful fallback mechanism for when the agent cannot access the internet.

Previously, the "Dependency & Standards Analysis" step assumed that an internet connection was available to research modern best practices. This would cause the agent to fail or hang in offline or restricted environments.

The workflow has been updated as follows:

1.  The agent now *attempts* to perform the internet search.
2.  If the search fails due to a lack of connectivity, it will:
    -   Inform the user of the situation.
    -   Ask the user if they want to enable access or if it should proceed using only its existing training data.
    -   Halt and wait for explicit user confirmation before continuing.

This change prevents the agent from getting stuck and empowers the user to make an informed decision, making the entire process more robust and suitable for a wider range of development environments.
This commit is contained in:
kevlingo 2025-06-22 07:37:32 -04:00
parent d3fd1ad531
commit 7a6908f7c5
1 changed files with 8 additions and 2 deletions
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bmad-core/tasks/implement-story-with-review.md
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@ -16,9 +16,15 @@ To execute a user story with a proactive analysis and review cycle, ensuring ali
- **Action**: Use the built-in IDE semantic search capabilities. - **Action**: Use the built-in IDE semantic search capabilities.
- **Query**: Search the entire codebase for implementations, functions, components, or patterns that are semantically related to the user story's title, description, and Acceptance Criteria. - **Query**: Search the entire codebase for implementations, functions, components, or patterns that are semantically related to the user story's title, description, and Acceptance Criteria.
- **Goal**: Identify code for potential reuse, and understand existing patterns relevant to the new work. Log these findings internally for use during implementation. - **Goal**: Identify code for potential reuse, and understand existing patterns relevant to the new work. Log these findings internally for use during implementation.
4. **Dependency & Standards Analysis**: 4. **Dependency & Standards Analysis with Internet Fallback**:
- Read the `package.json` (or equivalent) to identify currently installed libraries relevant to the story. - Read the `package.json` (or equivalent) to identify currently installed libraries relevant to the story.
- If any required libraries are marked "latest" or have a version significantly newer than your training data, or if new libraries are needed, perform a targeted internet search for "best practices for [library/feature] in [current year]". - [[LLM: **Attempt Internet Search:** Perform a targeted internet search for "best practices for [library/feature] in [current year]" for any new or significantly updated libraries.]]
- [[LLM: **On Success:** Silently incorporate the findings and proceed to the next step.]]
- [[LLM: **On Failure (If unable to access the internet):**
1. **Announce the situation clearly:** "I am currently unable to access the internet to research the latest standards for this task."
2. **Offer a choice to the user:** "Is this expected, or should I attempt to enable access? Alternatively, I can proceed using the best practices from my existing training data."
3. **Request explicit instruction to continue:** "Please let me know how you would like to proceed."
4. **HALT and await user response.** Once the user confirms to continue (with or without them enabling internet access), proceed to the next step using the available knowledge.]]
5. **Initial Complexity Assessment & Mode Declaration**: 5. **Initial Complexity Assessment & Mode Declaration**:
- Calculate a "Story Complexity" score from 1 to 10. - Calculate a "Story Complexity" score from 1 to 10.
- If Review Mode was forced by the user OR if `Story Complexity` > `agentThresholdStory`, declare: "**Entering high-scrutiny 'Review Mode' for this story. Each task will be individually assessed.**" - If Review Mode was forced by the user OR if `Story Complexity` > `agentThresholdStory`, declare: "**Entering high-scrutiny 'Review Mode' for this story. Each task will be individually assessed.**"