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confluentinc/quickstart-streaming-agents

https://github.com/confluentinc/quickstart-streaming-agents · scanned 2026-05-15 14:47 UTC (2 weeks, 6 days ago) · 10 languages

46 findings (18 legacy + 28 scanner) 51st percentile · Python · small (2-20K LoC) Scanner says 82 (lower by 11)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 13 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
77.6
/100
Repobility
73
13 legacy
9-layer
82
88.9% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-14-v3
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 72.4 0.25 18.10
testing_score 95.0 0.20 19.00
documentation_score 74.0 0.15 11.10
practices_score 40.0 0.15 6.00
code_quality 56.2 0.10 5.62
Overall 1.00 71.1
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 8 Medium 1 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 13 9-layer 0 Crowd 0 Layer: Quality 10 Security 3

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 9 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).
9 matching findings on this repo
  • medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … scripts/common/cloud_detection.py:73
  • medium Duplicated implementation block across source files scripts/publish_lab3_data.py:371
  • medium Duplicated implementation block across source files scripts/publish_lab3_data.py:169
  • medium Duplicated implementation block across source files scripts/publish_lab3_data.py:135
  • medium Duplicated implementation block across source files scripts/publish_lab1_data.py:26
  • medium Duplicated implementation block across source files scripts/publish_docs.py:248
  • medium Duplicated implementation block across source files scripts/lab3_datagen.py:133
  • medium Duplicated implementation block across source files scripts/lab1_datagen.py:113
  • medium Duplicated implementation block across source files scripts/common/destroy.py:108
View all fragile runtime findings →
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
  • medium No CI/CD configuration found
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
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