ai-code-helper（ai 代码助手）

AI Code Helper

A developer tools toolkit for checking, validating, generating, formatting, linting, explaining, converting, and fixing code from the command line. AI Code Helper provides persistent, file-based logging for each operation with timestamped entries, summary statistics, multi-format export, and full-text search across all records.

Commands

Each data command (check, validate, generate, etc.) works in two modes:

• Without arguments: displays the 20 most recent entries from that category
• With arguments: saves the input as a new timestamped entry and reports the total count

Data Storage

All data is stored in plain text files under the data directory:

• Category logs: $DATA_DIR/<command>.log — one file per command (e.g., check.log, lint.log, generate.log), each entry is timestamp|value
• History log: $DATA_DIR/history.log — audit trail of every command executed with timestamps
• Export files: $DATA_DIR/export.<fmt> — generated by the export command in json, csv, or txt format

Default data directory: ~/.local/share/ai-code-helper/

Requirements

• Bash (with set -euo pipefail support)
• Standard Unix utilities: grep, cat, date, echo, wc, du, head, tail, basename
• No external dependencies or API keys required

When to Use

1. Code review and validation — When you need to log code review findings, validation results, or quality checks for tracking purposes
2. Generating boilerplate or snippets — When you want to log code generation requests and keep a history of what was generated and when
3. Linting and formatting tracking — When you're running lint or format passes across a codebase and want to log results for each file or module
4. Code conversion and migration — When converting code between languages or formats and you need to track what was converted and any issues found
5. Bug fixing and diff analysis — When fixing bugs and you want to log the issue, the fix applied, and preview/diff results for future reference

Examples

# Check toolkit status
ai-code-helper status

# Log a code check result
ai-code-helper check "auth.py — missing input validation on login endpoint, 3 issues found"

# Log a validation result
ai-code-helper validate "docker-compose.yml — valid, all services resolve correctly"

# Log a code generation request
ai-code-helper generate "Created REST API boilerplate with FastAPI, includes auth middleware and rate limiting"

# Log a lint pass
ai-code-helper lint "src/ — 12 warnings (unused imports), 0 errors, eslint v8.50"

# Log a code explanation
ai-code-helper explain "Binary search implementation in utils.py — O(log n) time, handles edge cases for empty arrays"

# Log a fix
ai-code-helper fix "Fixed race condition in worker.py — added mutex lock around shared state access"

# View recent lint entries
ai-code-helper lint

# Search across all logs for a specific term
ai-code-helper search "validation"

# Export all data as JSON
ai-code-helper export json

# View summary statistics
ai-code-helper stats

# Show recent activity
ai-code-helper recent

Output

All commands return output to stdout. Export files are written to the data directory:

ai-code-helper export json   # → ~/.local/share/ai-code-helper/export.json
ai-code-helper export csv    # → ~/.local/share/ai-code-helper/export.csv
ai-code-helper export txt    # → ~/.local/share/ai-code-helper/export.txt

Every command execution is logged to $DATA_DIR/history.log for auditing purposes.

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