PaddlePaddle/FastDeploy

Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.

Scan timing: clone 10.23s · analysis 39.56s · 31.8 MB · GitHub API rate-limit (preflight)

https://github.com/PaddlePaddle/FastDeploy · scanned 2026-05-31 01:23 UTC (1 week, 6 days ago) · 10 languages

1206 raw signals (392 security + 814 graph) 11/13 scanners ran 78th percentile · Python · large (100-500K LoC) System graph score 69 (higher by 16)

File as issue Image

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 6 days ago · v2 · 519 actionable findings from 2 signal sources. 289 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON

100.0% cov · 375 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	100.0	0.25	25.00
`testing_score`	100.0	0.20	20.00
`documentation_score`	83.0	0.15	12.45
`practices_score`	92.0	0.15	13.80
`code_quality`	45.0	0.10	4.50
Overall		1.00	84.8

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 3 High 74 Medium 35 Low 262 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 144 System graph 375 Crowd 0 Layer: Software 60 Quality 357 Security 60 Cicd 15 Hardware 1 Frontend 1 Api 25

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 4 findings

What it is: Same function copy-pasted into multiple modules with minor variations.

Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.

How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.

Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.

4 matching findings on this repo

low Near-duplicate function bodies in 2 places repo-level
low Near-duplicate function bodies in 4 places
low Near-duplicate function bodies in 3 places repo-level
low Near-duplicate function bodies in 8 places

View all duplicates & near-duplicates findings →

Legacy markers 2 findings

What it is: TODO, FIXME, XXX, HACK comments. Often indicate a known-broken path the author meant to fix.

Why it matters: Each marker is an unfinished thought. Production code shouldn't ship with debt that's documented but not tracked.

How AI causes it: AI mirrors the style of the codebase, so existing TODOs propagate into new code.

Fix approach: Convert each into a ticket. Delete the comment when the ticket lands. Use a pre-commit hook to block new TODOs without an issue link.

2 matching findings on this repo

low Old/deprecated-named symbol `mock_legacy` in tests/logger/test_logger.py:207
low Old/deprecated-named symbol `q_legacy` in tests/model_executor/test_paddleforme…

View all legacy markers findings →

Commented-out code 68 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

12 matching findings on this repo

info Commented-code block (5 lines) in tests/ci_validation/server/test_evil_cases.py…
info Commented-code block (8 lines) in tests/ci_validation/server/test_base_chat.py:…
info Commented-code block (5 lines) in tests/operators/test_speculate_pre_process.py…
info Commented-code block (5 lines) in tests/operators/test_eagle_gather_hidden_stat…
info Commented-code block (8 lines) in tests/operators/test_qk_rmsnorm_fused.py:40
info Commented-code block (8 lines) in tests/operators/test_speculate_set_stop_value…
info Commented-code block (5 lines) in tests/quantization/test_wfp8afp8.py:141
info Commented-code block (5 lines) in tests/layers/test_fp8_ue8m0.py:108
info Commented-code block (6 lines) in tests/batch_invariant/test_batch_invariance_o…
info Commented-code block (8 lines) in tests/entrypoints/openai/tool_parsers/test_er…
info Commented-code block (9 lines) in tests/metax_ci/test_paddle_ocr.py:6
info Commented-code block (5 lines) in tests/metax_ci/test_cache_kv_with_rope.py:262

View all commented-out code findings →

Config drift 10 findings

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

10 matching findings on this repo

high [MINED131] pre-commit hook `https://github.com/psf/black.git` pinned to mutable…
high [MINED106] Phantom test coverage: test_inherits_pretrained_config: Test functio… tests/model_executor/test_dfnrope_configuration.py:82
high [MINED108] `self.is_unified_ckpt` used but never assigned in __init__: Method `…
high Insecure pattern 'eval_used' in fastdeploy/config.py:397 fastdeploy/config.py:397
critical Possible secret in fastdeploy/scheduler/config.py fastdeploy/scheduler/config.py:242
low Very large file: fastdeploy/config.py (2627 lines)
low Old/deprecated-named symbol `fd_v1` in tests/utils/test_config.py:311
low Old/deprecated-named symbol `default_v1` in fastdeploy/config.py:1430
low Old/deprecated-named symbol `default_v1` in fastdeploy/rl/rollout_config.py:70
low Unused endpoint: GET /config-info

View all config drift findings →

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

For AI agents + API integrations

Email me when this repo regresses

Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.

API access

This page is publicly accessible at: https://repobility.com/scan/ab654ff4-2d45-41c2-a338-f39e691f30b3/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/ab654ff4-2d45-41c2-a338-f39e691f30b3/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.