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kursku / etailors_amazon_ses

phpmain4bc37c51.3K linessynced 5h ago

Code health

9.2out of 10Excellent

This codebase scores 9.2 out of 10 on defect risk, which we rate excellent. It also scores maintainability 10.0 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number.

Full health report →
Documentation19pages0 with model-written prose, 19 built from the indexDead code3exportsUnused exports that nothing in the graph reaches
Lines of code
1.3K
Files
12
Symbols
61
Modules
11
Languages
3

Recent activity

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Commits

No commits indexed yet.

Decisions

  • Avoid parallel execution of Amazon SES transportproposed · 5h ago
  • Limit transactional mailer send rate to avoid parallel sendsproposed · 5h ago
  • Validate SNS subscription confirmation callback endpointproposed · 5h ago

Needs attention

12 open
  • medium severity. ProposedAvoid parallel execution of Amazon SES transportAuto-proposed decision awaiting review
  • medium severity. ProposedLimit transactional mailer send rate to avoid parallel sendsAuto-proposed decision awaiting review
  • medium severity. ProposedValidate SNS subscription confirmation callback endpointAuto-proposed decision awaiting review
  • medium severity. Knowledge siloAmazonSesBundle.php94% single-owner concentration
  • medium severity. Knowledge siloConfig/config.php81% single-owner concentration

Composition

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php 67%markdown 25%json 8%

Explore this codebase

  • Docs19 pages across 11 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files12 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 0 entry points→
  • Code healthPer-file scores, 2 open findings, coverage and refactoring targets→
  • Knowledge graphEntities, communities, and the paths between them→
  • Change couplingFiles that keep changing together, mined from commit history→
  • CommitsChange-risk ranked history with agent provenance→
  • ContributorsBus factor, per-file maintainers, and the human/agent split→
  • StatsSize class, origin, lifetime churn, rhythm and records→
  • CostsWhat indexing this snapshot cost, by model and by run→