tinygrad/tinygrad

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196 of your 269 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 12.06s · analysis 37.09s · 40.9 MB · GitHub API rate-limit (preflight)

https://github.com/tinygrad/tinygrad · scanned 2026-06-04 21:59 UTC (12 hours ago) · 10 languages

1021 findings (255 legacy + 766 scanner) 11/13 scanners ran 51st percentile · Python · large (100-500K LoC) Scanner says 61 (higher by 13)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 11 hours, 58 minutes ago · v2 · 639 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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100.0% cov · 384 gaps

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`	82.0	0.20	16.40
`documentation_score`	63.0	0.15	9.45
`practices_score`	75.0	0.15	11.25
`code_quality`	28.0	0.10	2.80
Overall		1.00	73.9

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 10 High 165 Medium 62 Low 333 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 255 9-layer 384 Crowd 0 Layer: Quality 422 Cicd 55 Software 110 Security 28 Frontend 7 Data 1 Network 4 Hardware 3 Api 9

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.

Fragile runtime 222 findings

What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.

Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.

How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.

Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).

12 matching findings on this repo

medium [MINED109] Mutable default argument in `__init__` (list): `def __init__(... = [… tinygrad/runtime/support/c.py:115
medium [MINED109] Mutable default argument in `findlib` (list): `def findlib(... = []/… tinygrad/runtime/support/c.py:93
medium [MINED109] Mutable default argument in `__init__` (list): `def __init__(... = [… tinygrad/runtime/support/compiler_cuda.py:61
medium [MINED109] Mutable default argument in `__init__` (list): `def __init__(... = [… tinygrad/runtime/ops_qcom.py:230
medium [MINED109] Mutable default argument in `__init__` (list): `def __init__(... = [… tinygrad/runtime/ops_cl.py:41
medium [MINED109] Mutable default argument in `__init__` (list): `def __init__(... = [… extra/models/convnext.py:20
medium [MINED109] Mutable default argument in `__init__` (list): `def __init__(... = [… extra/models/retinanet.py:201
medium [MINED109] Mutable default argument in `avg_pool` (list): `def avg_pool(... = [… extra/torch_backend/backend.py:316
medium [MINED109] Mutable default argument in `step_tf` (dict): `def step_tf(... = []/… test/external/external_test_optim.py:63
medium [MINED109] Mutable default argument in `step` (dict): `def step(... = []/{}/set… test/external/external_test_optim.py:48
medium [MINED111] Bare except continues silently: Bare `except:` (or `except Exception… test/amd/test_roundtrip.py:152
medium [MINED111] Bare except continues silently: Bare `except:` (or `except Exception… test/amd/test_sqttmap.py:29

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Legacy markers 87 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.

12 matching findings on this repo

low File has no detected symbols: extra/usbgpu/legacy/wr_speed.py
low Legacy-named symbol `table_old` in sz.py:35
low Legacy-named symbol `test_copy` in test/test_tiny.py:14
low Legacy-named symbol `test_inception_v1` in test/external/external_test_onnx_bac…
low Legacy-named symbol `is_copy` in test/external/fuzz_graph.py:58
low Legacy-named symbol `test_copy` in test/external/external_test_hcq.py:229
low Legacy-named symbol `training_old` in test/external/external_test_opt.py:42
low Legacy-named symbol `sd_v2` in test/external/mlperf_stable_diffusion/external_t…
low Legacy-named symbol `optimizer_v2` in test/external/mlperf_resnet/lars_optimize…
low Legacy-named symbol `convert_to_tensor_v2` in test/external/mlperf_resnet/lars_…
low Legacy-named symbol `targets_copy` in test/external/mlperf_retinanet/model/tran…
low Legacy-named symbol `test_assign_copy` in test/unit/test_assign.py:39

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Commented-out code 35 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 (8 lines) in test/external/external_model_benchmark.py:21
info Commented-code block (8 lines) in test/external/external_benchmark_resnet.py:15
info Commented-code block (6 lines) in test/external/mlperf_bert/external_test_check…
info Commented-code block (6 lines) in test/external/mlperf_bert/preprocessing/creat…
info Commented-code block (6 lines) in test/external/mlperf_bert/preprocessing/token…
info Commented-code block (5 lines) in test/external/mlperf_resnet/lars_optimizer.py…
info Commented-code block (13 lines) in test/external/mlperf_retinanet/model/utils.p…
info Commented-code block (7 lines) in test/models/test_whisper.py:40
info Commented-code block (7 lines) in test/unit/test_indexing.py:1011
info Commented-code block (7 lines) in test/mockgpu/amd/emu.py:1
info Commented-code block (6 lines) in test/amd/hw/test_vop3.py:1158
info Commented-code block (5 lines) in test/amd/hw/test_vop3p.py:948

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Config drift 1 finding

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.

1 matching finding on this repo

low File has no detected symbols: examples/tinychat/tinychat-browser/webpack.config…

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