nilbuild/developer-roadmap

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54 of your 124 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Upstream (GitHub) caused delay on this scan — not Repobility.

GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
Clone from GitHub took 107.71s for a 113.4 MB repo slow.
Repobility's analysis ran in 9.97s after the clone landed.

https://github.com/nilbuild/developer-roadmap · scanned 2026-06-05 04:27 UTC (11 hours, 47 minutes ago) · 10 languages

448 findings (106 legacy + 342 scanner) 11/13 scanners ran 49th percentile · Typescript · medium (20-100K LoC) Scanner says 67 (higher by 3)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 11 hours, 47 minutes ago · v2 · 277 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 · 171 gaps

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	85.0	0.15	12.75
`security_score`	100.0	0.25	25.00
`testing_score`	25.0	0.20	5.00
`documentation_score`	60.0	0.15	9.00
`practices_score`	69.0	0.15	10.35
`code_quality`	80.0	0.10	8.00
Overall		1.00	70.1

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

Severity distribution — click a segment to filter

Active filters: layer: api × excluding tests × Reset all

Severity: Critical 3 High 56 Medium 87 Low 76 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 106 9-layer 171 Crowd 0 Layer: Software 59 Quality 97 Security 30 Api 1 Frontend 75 Cicd 15

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 66.9/100 with 100.0% coverage. It contains 2037 nodes across 11 cross-layer flows, written primarily in mixed languages. Engine surfaced 171 findings — concentrated in frontend (75), quality (31), software (27). Risk profile is high: 0 critical, 1 high, 79 medium. Recommended next step: open the frontend layer findings first — that's where the highest-impact wins live.

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