Kaio

C+ 76 failed
Other
monorepo / rust · small
209
Files
28,870
LOC
0
Frameworks
4
Languages

Pipeline State

failed
Run ID
#414167
Phase
AI_REASONING
Progress
0%
Started
2026-04-13 12:22:14
Finished
LLM tokens
0
timeout

Pipeline Metadata

Stage
Scored
Decision
proceed
Novelty
45.67
Framework unique
Isolation
Last stage change
2026-05-04 16:25:11
Deduplication group #47293
Member of a group with 813 similar repo(s) — canonical #1436510 view group →
Top concepts (5)
Observer/Event EmittertestingStrategyLoggingTesting
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/

AI Prompt

Create a high-performance library, similar to KAIO, for writing custom GPU kernels entirely in Rust. The tool should allow defining kernels using a procedural macro, like `#[gpu_kernel]`, which compiles the Rust code down to PTX at build time. I need examples showing how to manage device allocation, launch kernels (like SAXPY), and retrieve results back to the host. The goal is to provide a pure-Rust alternative for GPU computation without needing CUDA C++ or Python dependencies, ensuring it works natively on Windows and Linux.
rust gpu kernels ptx high-performance gpu-computing system-programming build-time
Generated by gemma4:latest

Catalog Information

Create a high-performance library, similar to KAIO, for writing custom GPU kernels entirely in Rust. The tool should allow defining kernels using a procedural macro, like #[gpu_kernel], which compiles the Rust code down to PTX at build time. I need examples showing how to manage device allocation, launch kernels (like SAXPY), and retrieve results back to the host. The goal is to provide a pure-Rust alternative for GPU computation without needing CUDA C++ or Python dependencies, ensuring it wor

Tags

rust gpu kernels ptx high-performance gpu-computing system-programming build-time

Quality Score

C+
75.9/100
Structure
70
Code Quality
54
Documentation
90
Testing
85
Practices
80
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (83% test-to-source ratio)
  • Consistent naming conventions (snake_case)
  • Good security practices — no major issues detected

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • 3877 duplicate lines detected — consider DRY refactoring
  • 10 'god files' with >500 LOC need decomposition

Recommendations

  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

10
Vulnerabilities
2
Critical CVEs
110.8h
Tech Debt (D)
Elite
DORA Rating
All rows above produced by Repobility · https://repobility.com
A
OWASP (90%)
FAIL
Quality Gate
18.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

rust
68.6%
markdown
30.7%
toml
0.5%
yaml
0.1%

Frameworks

None detected

Symbols

function603
constant57
extension42
enum23
struct22
trait3
macro2
type_alias1

Concepts (5)

All metrics by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility analyzer · published findings · https://repobility.com
design_patternObserver/Event EmitterFound event emission/subscription patterns70%
arch_layertestingDetected testing layer70%
design_patternStrategyFound strategy/policy-named files60%
business_logicLoggingDetected from 7 related files50%
business_logicTestingDetected from 52 related files50%

Threat Findings

10
Total Threats
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
2
Critical
1
High
View Threat Intel

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/351843.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV

BinComp Dependency Hardening

All packages →
1 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nattrs26.1.0 · 0 gadgets · risk 0.0