AI Placeholder Detector
Find unfinished code placeholders and compare prior reports for new, unchanged and resolved occurrences, with an optional fail-on-new check.
The problem it solves
AI Placeholder Detector AI-assisted projects can look finished while still containing stubbed handlers, fake content, sample domains, or notes that were never resolved. AI Placeholder Detector gives maintainers a fast, local review pass before release.
Who AI Placeholder Detector is for
- Developers and maintainers who need reviewable evidence before changing or releasing software.
- Users working with code quality, AI-assisted development, audit who want the documented v1.1.0 behavior.
- People who prefer an open-source release with visible limitations, source, and license terms.
Intended result
Find unfinished code placeholders and compare prior reports for new, unchanged and resolved occurrences, with an optional fail-on-new check.
This summary is reconciled from the current catalog and repository documentation.
Features in v1.1.0
Capabilities below come from the current project README and release documentation.
AI-assisted projects can look finished while still containing stubbed handlers, fake content, sample domains, or notes that were never resolved. AI Placeholder Detector gives maintainers a fast, local review pass before release.
Despite the name, it does not attempt to determine who wrote the code. It reports concrete unfinished patterns regardless of authorship.
Verified examples
Screenshots are shown only when the current README references a local source image. Otherwise, repository example files are linked directly.
Verified release evidence
This project does not currently publish a screenshot or dedicated example folder. The current README, tests, changelog, tagged release, and source repository remain the verified examples of its behavior.
Platforms and implementation
The public release claims only the cataloged platforms and technologies.
Supported platforms
- Windows
- macOS
- Linux
Built with
- Python
Changelog
Release notes from the canonical v1.1.0 source tag.
- Compare a prior JSON report with occurrence-aware new, unchanged and resolved findings across line shifts.
- Add opt-in --fail-on-new, strict baseline validation and normalized evidence fingerprints while preserving excerpt redaction.
- Accept legacy baselines with their documented redacted-excerpt matching limits.
- Added deterministic placeholder and stub detection across common source formats.
- Added safe excerpts, inline ignores, glob exclusions, severity filtering, and JSON output.
- Added an optional CI failure mode.
Quick start
The shortest documented path into the current release.
Before running these source commands, download the v1.1.0 source archive, extract it, and open a terminal in the extracted project folder containing README.md. Follow the tagged README for required runtimes and any platform-specific setup.
Python 3.10 or newer is required.
python -m venv .venv
python -m pip install -e .Current limitations
These boundaries are part of the product and prevent the page from implying unverified capability.
This is a deterministic pattern scanner, not proof that a feature works. A match can be intentional, and an unfinished implementation can avoid every known pattern. Review findings in context.
Privacy and licensing
Review the actual data boundary before using a tool with sensitive inputs.
Privacy and safety
All scanning happens locally. Excerpts are truncated, and obvious secret assignments are redacted before display. The tool never uploads code.
License and release
AI Placeholder Detector is published under MIT. The current cataloged release is v1.1.0, published 2026-10-15.
Related projects
Related projects are selected deterministically from shared catalog tags, category, and implementation technologies—not popularity or paid placement.
AI Placeholder Detector v1.1.0
Use the tagged release for downloads and release notes. Use the repository for source, issues, contribution guidance, security reporting, and complete documentation.
Page source: current Forge catalog plus README and CHANGELOG from the canonical GitHub release tag. Fingerprint: 0c51895891a84f24.