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@jmikedupont2 jmikedupont2 commented Sep 13, 2025

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This PR implements a deterministic CRQ parser as part of CRQ-54.


PR Type

Documentation


Description

  • Add comprehensive CRQ-54 documentation for agent communication analysis

  • Define objectives, scope, and deliverables for PR mirroring system

  • Specify tools for analyzing AI agent interactions


Diagram Walkthrough

flowchart LR
  A["GitHub PRs"] --> B["mirror_pr_to_fs.sh"]
  B --> C["Local File System"]
  C --> D["response_analyzer"]
  D --> E["Predicate Analysis"]
  F["ping_coderabbitai.sh"] --> A
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File Walkthrough

Relevant files
Documentation
CRQ-54-agent-communication-analysis.md
Add CRQ-54 agent communication analysis documentation       

docs/crq_standardized/CRQ-54-agent-communication-analysis.md

  • Create comprehensive documentation for CRQ-54 project
  • Define objectives for mirroring PR communications to filesystem
  • Specify deliverables including shell scripts and Rust analyzer
  • Document dependencies and success criteria
+36/-0   

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coderabbitai bot commented Sep 13, 2025

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  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch feature/CRQ-54-deterministic-crq-parser

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PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 1 🔵⚪⚪⚪⚪
🧪 No relevant tests
🔒 Security concerns

Sensitive information exposure:
Mirroring PR descriptions and comments to the local filesystem can inadvertently persist secrets or PII from discussions. Consider adding guidance on redaction/allowlists, minimizing scopes for gh auth, storage location permissions, encryption at rest, and .gitignore rules for generated artifacts.

⚡ Recommended focus areas for review

Spec Clarity

The documentation mentions storing Markdown with YAML front matter and extracting predicates/traits, but it does not define the required front matter schema or the list/format of predicates. Specify the schema (required/optional fields, examples) and how the analyzer is configured/extended.

*   Development of scripts to fetch PR data and comments from GitHub and store them as Markdown files with YAML front matter.
*   Implementation of a Rust program (`response_analyzer`) to parse these Markdown files and extract predefined predicates and traits.
*   Integration of these tools into the development workflow to automatically capture and analyze agent communications.
Determinism

Given the goal of a deterministic parser, define idempotent behavior and ordering rules (e.g., stable sort of comments, timestamp normalization, consistent file naming) so repeated runs yield identical outputs, and clarify how edits/deletions are handled.

## Success Criteria

*   All relevant PRs and their comments are successfully mirrored to the local file system in the specified `comms/git/<CRQ_ID>/` structure.
*   The `response_analyzer` program successfully extracts defined predicates and traits from the mirrored data.
*   The analysis provides actionable insights into agent communication patterns and effectiveness.
Dependencies

Pin tool versions and names precisely (e.g., gh version, Rust toolchain channel) and document platform requirements to ensure reproducible results across environments.

*   GitHub CLI (`gh cli`)
*   `jq` (for JSON parsing)
*   Rust toolchain
*   Existing CRQ branches for data collection.

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PR Code Suggestions ✨

Explore these optional code suggestions:

CategorySuggestion                                                                                                                                    Impact
High-level
Mismatch between title and content

The suggestion highlights a mismatch between the PR title, "Deterministic CRQ
Parser," and its content, which is only high-level documentation. It recommends
either aligning the title with the content or enhancing the documentation with a
formal specification for the parser to make it actionable.

Examples:

docs/crq_standardized/CRQ-54-agent-communication-analysis.md [1-36]
# CRQ-54: Agent Communication Mirroring and Analysis

## Objective

To establish a robust system for mirroring and analyzing communications between human developers and AI agents (e.g., CodeRabbitAI) within the project's Pull Request workflow. This includes:

1.  Mirroring PR descriptions and comments to the local file system, structured by CRQ.
2.  Developing tools to analyze these mirrored communications to extract predicates, traits, and patterns of interaction.
3.  Facilitating the development of a "proc file system" for agent interactions to enable programmatic analysis and understanding of agent behavior and contributions.


 ... (clipped 26 lines)

Solution Walkthrough:

Before:

# CRQ-54: Agent Communication Mirroring and Analysis

## Objective

To establish a robust system for mirroring and analyzing communications...

## Deliverables

*   `mirror_pr_to_fs.sh`: Script to mirror PRs and comments to the file system.
*   ...
*   `response_analyzer` Rust crate: Program to analyze mirrored responses and extract predicates.
*   Updated documentation on the process and analysis results.

After:

# CRQ-54: Deterministic CRQ Parser and Agent Analysis

## Deliverables
*   ...
*   `response_analyzer` Rust crate: Program to analyze mirrored responses and extract predicates.

## Parser Specification (`response_analyzer`)
The `response_analyzer` is a deterministic parser for extracting interaction predicates from mirrored communication files.

### Input
Markdown files with YAML front matter containing PR comments.

### Grammar
The parser identifies sentences matching predefined predicate schemas, e.g., `AGENT(suggests, REFACTOR, SCOPE)`.

### Output
A JSON file containing a list of extracted predicates.

### Determinism
Given identical input, the parser guarantees identical output. Ambiguities are resolved by prioritizing the first matching rule.
Suggestion importance[1-10]: 9

__

Why: The suggestion correctly identifies a critical discrepancy between the PR's stated purpose ("Deterministic CRQ Parser") and its actual content, which is only high-level documentation lacking the parser's specification, making the documentation incomplete and not actionable.

High
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