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

Command	Description
INLINECODE0	Check code — log check results or view recent entries
INLINECODE1

Validate code or configurations — log validation results or view history | | generate | Generate code snippets or boilerplate — log generation requests or view recent ones | | format | Format code — log formatting operations or view recent entries | | lint | Lint code — log linting results or view recent lint entries | | explain | Explain code — log explanation requests or view recent explanations | | convert | Convert between formats or languages — log conversion operations or view history | | template | Template management — log template operations or view recent templates | | diff | Diff comparison — log diff results or view recent diffs | | preview | Preview changes — log preview operations or view recent previews | | fix | Fix code issues — log fix operations or view recent fixes | | report | Report generation — log report entries or view recent reports | | stats | Show summary statistics across all log categories (entry counts, data size, first entry date) | | export <fmt> | Export all data in json, csv, or txt format to the data directory | | search <term> | Full-text search across all log files (case-insensitive) | | recent | Show the 20 most recent entries from the activity history log | | status | Health check — show version, data directory, total entries, disk usage, and last activity | | help | Show the full help message with all available commands | | version | Print the current version string |

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 INLINECODE23
• 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: INLINECODE27

Requirements

• - Bash (with set -euo pipefail support)
• Standard Unix utilities: grep, cat, date, echo, wc, du, head, tail, INLINECODE37
• No external dependencies or API keys required

When to Use

1. 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

CODEBLOCK0

Output

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

CODEBLOCK1

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

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