devdox-sonar 0.0.1

A CLI tool to analyze SonarCloud issues and attempt LLM-powered fixes

DevDox AI Sonar

DevDox AI Sonar is a command-line tool that reads the analysis reports SonarCloud has already produced for your project — every bug, code smell, and security vulnerability it found — and sends each issue to a Large Language Model along with the relevant source code and context. The LLM generates a structured fix with code blocks, line numbers, and a confidence score. You review it, apply it if it looks good, and a markdown changelog documents everything.

The CLI is built on Click for command handling, Questionary for interactive prompts, and Rich for terminal formatting. Issue data and fix suggestions are modeled with Pydantic for validation. LLM prompts are assembled from Jinja2 templates, making them easy to inspect and modify. All file I/O during fix application is async via aiofiles.

PyPI: pypi.org/project/devdox-sonar Source: github.com/montymobile1/devdox-ai-sonar

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Table of Contents

• What is DevDox AI Sonar?
• How It Works
• Prerequisites
• Installation
• Getting Started
  • First-Time Setup
  • Subsequent Runs
• Configuration
  • Configuration Files
  • LLM Providers
• Using the CLI
  • Interactive Mode
  • Direct Mode
  • CLI Options
  • The fix_issues Pipeline
  • Understanding the Output
  • Workflow Recipes
• Advanced Topics
  • Rule Exclusions
  • Supported Languages
  • Troubleshooting
• License
• Authors
• Acknowledgments

---

What is DevDox AI Sonar?

SonarCloud is a service that scans your code on every push and produces an analysis report: bugs that will crash at runtime, security holes an attacker could exploit, and code smells that make your codebase harder to maintain. It tells you what is wrong. It does not tell you how to fix it.

For a project with hundreds of open issues, fixing them manually means reading each rule, understanding the context, writing a fix, and testing it. Most teams never get to it. The issues pile up.

DevDox AI Sonar picks up where SonarCloud leaves off. It requires that SonarCloud has already scanned your project and produced an analysis report. The tool then authenticates with SonarCloud, reads that report, fetches the flagged issues, and for each one, extracts the relevant source code with surrounding context and sends it to an LLM. The LLM returns a structured fix — actual code blocks with line numbers, import changes, helper functions, an explanation, and a confidence score. You review the fix, decide whether to apply it, and a markdown changelog records every change for audit.

You install it from PyPI and use it as a terminal command:

pip install devdox_sonar
devdox_sonar

Glossary

Term	Meaning
SonarCloud	Cloud service that scans your code and produces analysis reports. Free for open-source projects.
Analysis Report	The output SonarCloud generates after scanning your code. Contains all detected issues. DevDox AI Sonar reads this report.
Issue	A single problem SonarCloud found. Has a type, severity, rule, file, and line number.
Rule	The coding standard an issue violates. Example: python:S1066 = "mergeable if statements should be combined." Each rule has a unique ID in the format language:SXXXX.
Bug	A logic error that will produce wrong results or crash.
Code Smell	Not a bug, but makes code harder to maintain — excessive complexity, duplication, dead code.
Vulnerability	A security issue — SQL injection, XSS, hardcoded credentials.
Security Hotspot	Code that might be a security issue and needs manual review.
Severity	How bad it is: Blocker > Critical > Major > Minor > Info.
LLM Provider	The AI service generating fixes. You bring your own API key. Supported: OpenAI, Google Gemini, TogetherAI, OpenRouter.
Confidence Score	0.0 to 1.0 rating from the LLM indicating how certain it is about the fix.
Dry Run	Runs the full pipeline but skips all file writes. Safe to run anytime.

---

How It Works

SonarCloud must have already scanned your project before DevDox AI Sonar can do anything. The tool reads SonarCloud's existing analysis report — it does not perform its own code analysis.

flowchart LR
    A["SonarCloud\n(already scanned)"]
    B["Fetch Issues\nfrom report"]
    C["Clone Repo\nto /tmp"]
    D["Extract Code\n+ Context"]
    E["Build Prompt\n(Jinja2)"]
    F["Call LLM"]
    G["Validate Fix"]
    H{"Preview"}
    I["Apply +\nChangelog"]
    J["Skip"]

    A -->|"analysis\nreport"| B --> C --> D --> E --> F --> G --> H
    H -->|"apply = 1"| I
    H -->|"apply = 0"| J

    style A fill:#4a90d9,stroke:#2c6faa,color:#fff
    style B fill:#7b68ee,stroke:#5b48ce,color:#fff
    style C fill:#7b68ee,stroke:#5b48ce,color:#fff
    style D fill:#7b68ee,stroke:#5b48ce,color:#fff
    style E fill:#7b68ee,stroke:#5b48ce,color:#fff
    style F fill:#f5a623,stroke:#d4891c,color:#fff
    style G fill:#e67e22,stroke:#c96e1c,color:#fff
    style H fill:#e8e8e8,stroke:#999,color:#333
    style I fill:#50c878,stroke:#3da85e,color:#fff
    style J fill:#ccc,stroke:#999,color:#666

1. Fetch — Authenticates with SonarCloud and reads the analysis report via the Issues API. Filters by the types and severities you configured. Regular issues (bugs, code smells) are grouped by rule so all issues of the same kind are batched together. Security issues are grouped by file.

2. Clone and Extract — Your repository is cloned to a temporary directory (your working tree is never touched). For each issue, the tool reads the flagged file, locates the exact lines from the report, and extracts code with surrounding context (context_lines=10 by default). If the code has changed since SonarCloud last scanned, fuzzy matching is used to find the right location.

3. Build Prompt — The extracted code, rule description, severity, and issue metadata are assembled into a prompt using Jinja2 templates (located in prompts/python/).

4. Call LLM — The prompt is sent to your configured provider. The LLM returns structured JSON containing code blocks with line numbers, an explanation, and a confidence score.

5. Validate — When applying fixes (not preview-only), a validator agent — a second LLM call — reviews the fix for logic errors, security issues, and syntax problems. If it finds issues, it can correct them.

6. Preview and Apply — The terminal shows the file path, confidence score, and explanation. If apply = 1, the fix is written to disk. If create_backup = 1, the entire project directory is copied to <project>_backup_YYYYMMDD_HHMMSS in the parent directory first. A markdown changelog documents every change.

---

Prerequisites

Python 3.12 or higher

python --version

Git — The tool clones your repo to a temp directory for code extraction.

git --version

A SonarCloud project that has already been scanned. DevDox AI Sonar does not scan your code — SonarCloud does. You need an existing SonarCloud project with at least one completed analysis. If you have not set up SonarCloud yet, it is free for open-source: sonarcloud.io.

You will need these from your SonarCloud account:

• API Token — generate at sonarcloud.io/account/security
• Organization Key — visible in your dashboard URL: sonarcloud.io/organizations/<org-key>/projects
• Project Key — visible on your project page: sonarcloud.io/project/overview?id=<project-key>

An API key for at least one LLM provider: OpenAI, Google Gemini, TogetherAI, or OpenRouter.

---

Installation

pip install devdox_sonar

Verify:

devdox_sonar --version
# devdox_sonar, version 0.0.1-beta

For contributors installing from source:

git clone https://github.com/montymobile1/devdox-ai-sonar.git
cd devdox-ai-sonar
pip install -e ".[dev]"

---

Getting Started

First-Time Setup

Run the tool with no arguments to start the setup wizard:

devdox_sonar

The wizard walks you through three steps.

Step 1 — SonarCloud Connection

It asks for	Where to find it	Example
Token	sonarcloud.io/account/security	squ_abc123def456...
Organization Key	Your SonarCloud dashboard URL	my-company
Project Key	Your project's SonarCloud page	my-company_my-app
Project Path	Absolute path to the code on your machine	/home/user/projects/my-app
Git URL	Repository clone URL	https://github.com/my-org/my-app.git

Saved to ~/devdox/auth.json.

Step 2 — LLM Provider

1. Pick a provider (OpenAI, Gemini, TogetherAI, or OpenRouter)
2. Paste your API key — it is validated against the provider's API immediately
3. Choose a model from the provider's available list
4. Optionally set it as the default provider

You can add multiple providers. Saved to ~/devdox/config.toml.

Step 3 — Analysis Parameters

The wizard prompts you for each of the following. You can press Enter to skip any field and accept the current value.

Parameter	Prompt	Possible values
Max Fixes	Maximum fixes to generate (0-20)	Any integer from 0 to 20
Issue Types	Issue types (comma-separated, or press Enter to skip)	BUG, VULNERABILITY, CODE_SMELL — pass one or more, comma-separated
Severities	Issue severities (comma-separated, or press Enter to skip)	BLOCKER, CRITICAL, MAJOR, MINOR, INFO — pass one or more, comma-separated
Apply	Apply fixes of SonarQube (press Enter to skip)	yes (apply fixes to files) or no (preview only)
Create Backup	Create backup before apply fixes (press Enter to skip)	yes (copy project dir before modifying) or no
Exclude Rules	Rules to be excluded (comma-separated, or press Enter to skip)	Comma-separated rule IDs, e.g. python:S7503,python:S3776. See Rule Exclusions for format and recommendations.

After setup completes, you land in the interactive menu.

Subsequent Runs

On subsequent runs, devdox_sonar detects your existing configuration and skips the setup wizard entirely. It loads your saved credentials and parameters from ~/devdox/auth.json and ~/devdox/config.toml, and goes straight to the interactive menu.

To reconfigure, either use the menu options (Add Provider, Update Provider, Change Parameters Configuration) or edit the config files directly.

---

Configuration

Configuration Files

All configuration lives in ~/devdox/:

~/devdox/
├── auth.json      # SonarCloud credentials (JSON)
└── config.toml    # LLM providers + analysis parameters (TOML)

auth.json

{
  "SONAR_TOKEN": "squ_your_token",
  "SONAR_ORG": "your-org-key",
  "SONAR_PROJ": "your-project-key",
  "PROJECT_PATH": "/home/user/projects/my-app",
  "GIT_URL": "https://github.com/your-org/my-app.git"
}

config.toml

[llm]
default_provider = "openai"
default_model = "gpt-4o"

[[llm.providers]]
name = "openai"
api_key = "sk-your-key"
base_url = "https://api.openai.com/v1"
models = ["gpt-4o", "gpt-4-turbo"]

[configuration]
max_fixes = 5
types = "BUG,CODE_SMELL"
severities = "CRITICAL,MAJOR"
apply = 0
create_backup = 0
exclude_rules = ""

Updating configuration

Use the interactive menu (run devdox_sonar with no arguments) and select:

• Add Provider — add another LLM provider
• Update Provider — change an existing provider's API key or model
• Change Parameters Configuration — adjust types, severities, max fixes, apply, backup, and excluded rules

Or edit ~/devdox/auth.json and ~/devdox/config.toml directly.

---

LLM Providers

You need at least one. The setup wizard lets you configure any of these:

OpenAI

• Get a key: platform.openai.com → API Keys → Create new secret key
• Recommended models: gpt-4o, gpt-4-turbo

Google Gemini

• Get a key: ai.google.dev → Google AI Studio → Get API Key
• Recommended models: gemini-2.5-flash, gemini-pro
• Has a free tier — useful for trying the tool without spending anything.

TogetherAI

• Get a key: together.ai → Dashboard → Settings → API Keys
• Recommended models: mixtral-8x7b, meta-llama/Llama-3-70b
• Runs open-source models at lower cost.

OpenRouter

• Get a key: openrouter.ai → Dashboard → Keys → Create Key
• Example models: anthropic/claude-sonnet-4, openai/gpt-4o, google/gemini-2.5-flash
• One API key gives access to 400+ models. Model names use provider/model-name format.

---

Using the CLI

DevDox AI Sonar provides two ways to run commands: an interactive mode with a menu, and a direct mode that skips the menu and runs a specific command immediately.

Interactive Mode

devdox_sonar

On first run, the setup wizard runs (see First-Time Setup). On subsequent runs, your saved configuration is loaded and you go straight to the menu:

═══════════════════════════════════════════════
   DevDox AI Sonar - Interactive Mode
═══════════════════════════════════════════════

? What would you like to do?
  ➕ Add Provider - Add provider or sonar configuration
  ✏️  Update Provider - Update provider or sonar configuration
  🔧 Fix Issues - Generate and apply LLM-powered fixes
  🔒 Fix Security Issues - Specialized security vulnerability fixes
  📊 Analyze Project - Display SonarCloud analysis
  🔍 Inspect Project - Analyze local directory structure
  ⚙️  Change Parameters Configuration
  ❌ Exit

Use arrow keys to navigate, Enter to select. Type / during any prompt to switch to a different command. Press Ctrl+C to exit.

Direct Mode

If you already know which command you want, skip the interactive menu entirely using the -c flag:

devdox_sonar -c <command> [OPTIONS]

This runs the command immediately using your saved configuration from ~/devdox/. You can override specific parameters with CLI options (see below).

Four commands are available in direct mode:

Command	What it does
fix_issues	Reads SonarCloud's analysis report, fetches bugs and code smells, generates LLM fixes, and lets you preview or apply them. Issues are grouped by rule.
fix_security_issues	Same pipeline, but for security vulnerabilities only. Issues are grouped by file. Generates a separate CHANGES_SECURITY_*.md changelog.
analyze	Displays project metrics from SonarCloud (lines of code, coverage, bugs, vulnerabilities) and an issues table. No fixes are generated.
inspect	Analyzes your local directory: file counts by language, git status, SonarCloud configuration presence. Does not contact SonarCloud.

The remaining menu options (Add Provider, Update Provider, Change Parameters Configuration) are only available through the interactive menu because they require interactive prompts.

Examples:

# Fix up to 5 issues, preview only (no files modified)
devdox_sonar -c fix_issues --max-fixes 5

# Fix issues and apply them to files
devdox_sonar -c fix_issues --apply 1 --max-fixes 3

# Run the full pipeline but skip all file writes
devdox_sonar -c fix_issues --dry-run

# Only critical bugs
devdox_sonar -c fix_issues --types BUG --severity CRITICAL,BLOCKER

# Show project metrics from SonarCloud
devdox_sonar -c analyze

CLI Options

These options can be passed with any direct mode command to override your saved configuration:

  -v, --verbose             Enable debug logging
  --types TEXT              Comma-separated issue types: BUG, VULNERABILITY, CODE_SMELL
  --severity TEXT           Comma-separated severities: BLOCKER, CRITICAL, MAJOR, MINOR, INFO
  --max-fixes INTEGER       Number of issues to process (0-20)
  --apply INTEGER           0 = preview only, 1 = apply fixes to files
  --dry-run                 Run the full pipeline but skip all file writes

The fix_issues Pipeline

flowchart TD
    A["Load Config\nauth.json + config.toml"]
    B["Clone Repo\nGit clone to /tmp"]
    C["Fetch Issues\nfrom SonarCloud report\nFilter by type/severity"]
    D["Group by Rule"]

    subgraph LOOP ["For Each Rule Group"]
        direction TB
        E["Extract Code\nLocate lines + context"]
        F["Select Handler"]
        G["Generate Fix\nLLM or AST-based"]
        H{"Preview\nFile, confidence,\nexplanation"}
        I["Apply + Validate"]
        J["Skip"]
        K{"Continue to\nnext issue?"}
    end

    L["Write Changelog\nCHANGES_REGULAR_*.md"]

    A --> B --> C --> D --> E
    E --> F --> G --> H
    H -->|"apply = 1"| I --> K
    H -->|"apply = 0"| J --> K
    K -->|Yes| E
    K -->|No| L

    style A fill:#4a90d9,stroke:#2c6faa,color:#fff
    style B fill:#4a90d9,stroke:#2c6faa,color:#fff
    style C fill:#4a90d9,stroke:#2c6faa,color:#fff
    style D fill:#7b68ee,stroke:#5b48ce,color:#fff
    style E fill:#9b59b6,stroke:#7d3c98,color:#fff
    style F fill:#9b59b6,stroke:#7d3c98,color:#fff
    style G fill:#f5a623,stroke:#d4891c,color:#fff
    style H fill:#e8e8e8,stroke:#999,color:#333
    style I fill:#50c878,stroke:#3da85e,color:#fff
    style J fill:#ccc,stroke:#999,color:#666
    style K fill:#e8e8e8,stroke:#999,color:#333
    style L fill:#50c878,stroke:#3da85e,color:#fff

Specialized rule handlers — Most rules go through the LLM via DefaultRuleHandler. Two rules have dedicated handlers:

Rule	Handler	Approach
python:S7503	AsyncToSyncHandler	Pure AST analysis. Detects async functions without await, removes the async keyword, and updates all call sites. No LLM call.
python:S3776	CognitiveComplexityHandler	Specialized refactoring prompt template optimized for breaking down complex functions.

---

Understanding the Output

Terminal preview — For each fix, the tool prints:

Fix Preview:
File: src/my_app/services/parser.py
Confidence: 0.92
Issues fixed: 1

Changes:
╭─ Explanation of changed ─────────────────────────────────────╮
│ Issue: python:S1066 - Collapsible if statements should be    │
│ merged → Fix: Combined nested if statements into a single    │
│ condition → Validation: Logic preserved, no side effects     │
╰──────────────────────────────────────────────────────────────╯

When apply = 1, a results summary follows:

Results:
Attempted: 1
Successful: 1
Failed: 0
Success Rate: 100.0%

Between issues, you are prompted:

? Continue to next issue? (Y/n)

Markdown changelog — For every issue processed, a detailed entry is written to a changelog file in your project root. The terminal shows the summary; the changelog contains the full code diffs.

Regular issues generate CHANGES_REGULAR_YYYYMMDDHHMMSS.md. Security issues generate CHANGES_SECURITY_YYYYMMDDHHMMSS.md.

Each changelog entry includes:

## Issue: `python:S1066`

**Severity:** MAJOR
**File:** `src/my_app/services/parser.py`

### Problem
Merge this if statement with the enclosing one.

### Explanation
Issue: python:S1066 - Collapsible if statements should be merged
→ Fix: Combined nested if statements into a single condition
→ Validation: Logic preserved, no side effects

### Impact Assessment
- **Risk Level:** Medium
- **Breaking Change:** No
- **Logic Preserved:** Yes
- **Testing Required:** Recommended

### Suggested Fix

#### `parse_config` (Lines 42-48)

**Original:**
```python
if config is not None:
    if config.get("enabled"):
        run_parser(config)

Fixed:

if config is not None and config.get("enabled"):
    run_parser(config)

Review Checklist

• Code change preserves original logic
• No new bugs introduced
• Syntax validated
• Tests pass
• Ready for commit

**Confidence scores**

| Score | Guidance |
|---|---|
| 0.8 - 1.0 | Generally safe to apply. Review the changelog entry to confirm. |
| 0.6 - 0.8 | Read the changelog diff carefully. Test after applying. |
| Below 0.6 | Review manually or skip. |

**Backups** — When `create_backup = 1` and `apply = 1`, the tool copies your entire project directory to `<parent-dir>/<project-name>_backup_YYYYMMDD_HHMMSS/` before modifying any files.

---

### Workflow Recipes

```bash
# Preview fixes without modifying any files
devdox_sonar -c fix_issues --dry-run

# Fix up to 5 critical bugs, preview only
devdox_sonar -c fix_issues --types BUG --severity CRITICAL,BLOCKER --max-fixes 5

# Apply fixes to files
devdox_sonar -c fix_issues --apply 1 --max-fixes 10

# Security audit: review then apply
devdox_sonar -c analyze
devdox_sonar -c fix_security_issues --dry-run
devdox_sonar -c fix_security_issues --apply 1

# Code smell cleanup
devdox_sonar -c fix_issues --types CODE_SMELL --severity CRITICAL,MAJOR --max-fixes 10 --apply 1

# Debug logging
devdox_sonar --verbose -c fix_issues --max-fixes 3

---

Advanced Topics

Rule Exclusions

Some SonarCloud rules may not apply to your project. You can exclude specific rules so the tool skips them entirely.

Format: Comma-separated rule IDs in the format language:SXXXX. Example: python:S7503,python:S3776,python:S107.

How to set them:

Via the interactive menu: run devdox_sonar, select Change Parameters Configuration, and enter the rule IDs at the Rules to be excluded prompt.

Via ~/devdox/config.toml:

[configuration]
exclude_rules = "python:S7503,python:S7493,python:S107"

Commonly excluded rules:

Rule ID	What it flags	Why teams exclude it
python:S7503	Async functions that do not use await	Sometimes async is needed for interface compatibility even without await
python:S7493	Synchronous file I/O inside async functions	Intentional for small config files or startup code
python:S107	Functions with too many parameters	Common in FastAPI dependency injection
python:S5852	Regular expressions vulnerable to ReDoS	Safe patterns sometimes flagged incorrectly
python:S3776	Functions with high cognitive complexity	May prefer manual refactoring over LLM-generated rewrites

Finding rule IDs: You can see rule IDs in the SonarCloud dashboard next to each issue, or in the changelog entries this tool generates.

---

Supported Languages

Issue fetching works for all languages SonarCloud supports. The tool reads whatever SonarCloud has in its analysis report.

Automated fixing currently processes Python files only (.py extension, excluding files with a test_ prefix). The prompt templates in prompts/python/ are optimized for Python. The architecture (Jinja2 templates, language-agnostic models) is designed to support additional languages in the future.

---

Troubleshooting

Error	Cause	Fix
401 Unauthorized	SonarCloud token is invalid or expired	Generate a new token at sonarcloud.io/account/security and update ~/devdox/auth.json
Invalid API key	LLM provider rejected the key	Verify the key is correct and billing is enabled. Use Update Provider in the interactive menu.
Configuration not found	No config files exist yet	Run devdox_sonar to start the setup wizard
File not found	PROJECT_PATH does not match the repo structure	Ensure PROJECT_PATH in ~/devdox/auth.json points to the repository root
No issues returned	SonarCloud has not scanned the project yet, or all issues are resolved	Verify your project has a completed analysis at sonarcloud.io

FAQ

Can I use this with self-hosted SonarQube? The underlying SonarCloudAnalyzer class accepts a base_url parameter. If you are building custom tooling, you could point it at your SonarQube instance. The CLI currently targets SonarCloud.

What if the LLM generates a bad fix? Every fix includes a confidence score. The validator agent catches many issues. You can enable backups before applying. --dry-run lets you run the full pipeline without writing any files.

Does it modify my working directory? The tool clones your repo to /tmp for code extraction. Applied fixes are written to the path specified in PROJECT_PATH. The clone step does not affect your local uncommitted changes.

Does SonarCloud need to have scanned my project first? Yes. DevDox AI Sonar reads SonarCloud's existing analysis report. It does not perform code analysis itself. If SonarCloud has not scanned your project, there are no issues to fix.

How much does it cost? DevDox AI Sonar is free and open-source (Apache 2.0). You pay only for LLM API calls to your chosen provider. Google Gemini offers a free tier.

---

License

This project is licensed under the Apache License 2.0. You are free to use, modify, and distribute this software, including in commercial and proprietary projects, provided you include the original license and notice. The license also provides an express grant of patent rights from contributors.

Support

github.com/montymobile1/devdox-ai-sonar/issues

Authors

Created and maintained by Hayat Bourji ([e-mail]) at Monty Mobile.

Acknowledgments

Built with Click, Rich, Questionary, Pydantic, Jinja2, and aiofiles. Powered by OpenAI, Google Gemini, TogetherAI, and OpenRouter. Integrates with SonarCloud.