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Yusuprozimemet/LearnX-Radar

https://github.com/Yusuprozimemet/LearnX-Radar · scanned 2026-06-16 01:09 UTC (2 months, 1 week ago)

26 raw signals (0 security + 26 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 23 actionable findings from 1 signal source. 3 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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88.9% cov · 23 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 5 Low 10 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 23 Crowd 0 Layer: Software 3 Frontend 1 Security 1 Cicd 3 Quality 15

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 2 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.

2 matching findings on this repo

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

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Legacy markers 1 finding

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.

1 matching finding on this repo

low Old/deprecated-named symbol `_to_lines_legacy` in dutch/audio.py:26

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Commented-out code 5 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/`.

5 matching findings on this repo

info Commented-code block (6 lines) in config.py:25
info Commented-code block (5 lines) in main.py:347
info Commented-code block (7 lines) in dutch/trainer.py:81
info Commented-code block (5 lines) in delivery/telegram_recall.py:28
info Commented-code block (7 lines) in storage/state.py:47

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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

info Commented-code block (6 lines) in config.py:25

View all config drift findings →

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