Nim orchestrates specialized AI agents to find what you miss.
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Nim coordinates specialized agents, each focused on security, performance, or style, catching issues that single tools miss.
Used by teams at
Nim leads specialized AI agents that collaborate to catch what single tools miss
| Capability | AskNim | Static Analyzers |
|---|---|---|
Multi-agent reasoning Specialized agents collaborate | ✅ | ❌ |
CWE tagging Industry-standard vulnerability IDs | ✅ | ⚠️ |
Big-O analysis Algorithmic complexity detection | ✅ | ❌ |
Maintainability scoring Code health and technical debt | ✅ | ❌ |
See how AskNim stacks up against traditional code analysis tools
| Tool | Time to Result | Issue Coverage | Language Support |
|---|---|---|---|
AskNim This product | ~25s Instant analysis | Security + Perf + Style Multi-agent coverage | 6+ Growing library |
SonarQube | 2-5 min Full scan time | Security + Some Perf Limited reasoning | 25+ Broad coverage |
ESLint | ~10s Fast local scan | Style only No security/perf | JS/TS JavaScript ecosystem |
Codacy | 1-3 min Cloud analysis | Security + Style Rule-based only | 40+ Extensive support |
Automate code reviews on every pull request • GitHub Actions, GitLab CI, Jenkins
name: Code Review
on: [pull_request]
jobs:
review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: AI Code Review
uses: codereview-ai/action@v1
with:
api_key: ${{ secrets.CODEREVIEW_KEY }}code-review:
stage: test
image: codereview-ai/cli:latest
script:
- codereview-ai analyze \
--target merge_request
only:
- merge_requestsSee what developers are saying about AskNim
"Found 3 SQL injection vulnerabilities our existing tests completely missed."
"Reduced our PR review time by 40% and caught O(n²) complexity issues before production."
"The maintainability scores helped us prioritize tech debt. Our code quality improved by 2 letter grades."
Our AI agents will analyze your code for security, performance, and style issues
9 examples • Python, JavaScript, TypeScript, Go, Rust, Java
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