Autonomous Code Audits &
PR Architecture Refactoring
Kareli AI embeds directly into your CI/CD pipeline. Powered by Anthropic Claude 3.7 Sonnet, it ingests up to 200,000 tokens of monorepo context to catch zero-day logic flaws, race conditions, and auto-generate verified git patches before production deploys.
Experience Real-Time Claude Code Audits
Select a vulnerability scenario below and watch Kareli analyze abstract syntax trees, pinpoint architectural regressions, and draft verified git patches.
// Loading code snippet...Why Kareli Relies on Claude 3.7 Sonnet
Traditional static analyzers (AST linters) produce 80% false positives. Standard smaller LLMs suffer from severe context truncation. Here is how Claude's unique neural architecture powers our engine:
200,000 Token Monorepo Context
Code reviews require understanding distant dependency graphs. Claude's massive context allows us to feed the entire microservice dependency tree in a single API pass, eliminating context blind spots.
- Multi-file cross-module AST mapping
- Ingests lockfiles, schema files, and unit test suites
- Zero truncation on 15,000+ line PRs
Deep Logic Chain-of-Thought
Unlike basic prompt wrappers, Kareli utilizes Claude's native extended thinking to simulate state machine execution and detect edge cases such as mutex deadlocks and privilege escalation.
- Deterministic execution path tracing
- Elimination of superficial stylistic comments
- Verification against OWASP & NIST benchmarks
Structured Tool Calling & Git Diffs
We harness Anthropic's tool-use API to output strict JSON schemas containing git-compatible unified diff blocks, automated test assertions, and PR review comments directly formatted for GitHub Webhooks.
- 1-click GitHub PR commit suggestions
- Auto-generated pytest / Jest regression tests
- Automatic CI status checks (Pass/Warn/Block)
Kareli + Claude API Ingestion Pipeline
Average Pipeline Latency: 14.2sGitHub Webhook Ingestion
PR open/synchronize trigger receives git tree & changed diff chunks.
AST Context Assembly
Dependency graph & schemas serialized into optimized 200k token payload.
Claude 3.7 Sonnet Inference
Deep code reasoning, security vulnerability check & tool-calling patch generation.
GitHub PR Annotation
Actionable inline comments & 1-click mergeable patch commit suggestions posted.
Built for Modern High-Velocity Teams
Stop wasting senior engineer hours on repetitive PR checks. Let autonomous intelligence handle the heavy lifting.
Zero-Day Vulnerability Scanning
Identifies SSRF, SQL Injection, Auth bypasses, and unsanitized tainted data paths before code merges into master.
Automated Test Generation
Every identified bug automatically receives a companion Jest, PyTest, or Go test case that reproduces the failure and verifies the fix.
Architecture Drift Detection
Detects circular dependencies, violated domain boundaries, and anti-patterns before technical debt accumulates.
CLI & IDE Integrations
Run `kareli check` locally in your terminal or use our VS Code and JetBrains extension to get instant feedback while typing.
Team Style Guide Enforcement
Upload your team's internal documentation and engineering principles; Claude enforces conventions with contextual empathy.
Enterprise Vault Privacy
Your code is never stored or used for model training. Anthropic enterprise commercial terms guarantee zero customer data persistence.
Seamlessly Drops Into Your Existing Stack
Installs in 60 seconds with zero configuration changes required in your codebase.
Simple, Predictable Plans for Every Team
Start free on public repositories. Upgrade as your engineering organization scales.
Hobby & Open Source
For indie hackers and open-source maintainers building public tools.
- ✓ Unlimited public repositories
- ✓ 15 PR reviews per month
- ✓ Claude 3.5 Haiku baseline engine
- ✓ Community Discord support
- ✕ Monorepo 200k context ingestion
- ✕ Automated unit test generation
Engineering Pro
For fast-shipping teams wanting zero production security surprises.
- ✓ Unlimited private repositories
- ✓ Unlimited Pull Request audits
- ✓ Claude 3.7 Sonnet Deep Reasoning
- ✓ 200,000 Token context AST window
- ✓ 1-Click Git patch auto-generation
- ✓ Automated unit test suites (Jest/Pytest)
- ✓ Slack & Linear issue sync
Custom Enterprise
For high-compliance organizations with custom security & governance needs.
- ✓ Dedicated VPC / Self-hosted deployment
- ✓ Custom model system prompts & rules
- ✓ Zero Data Retention legal agreement
- ✓ SAML SSO & Okta SCIM provisioning
- ✓ Dedicated Solutions Architect
- ✓ 99.99% Uptime SLA guarantee
Everything You Need to Know
Have questions about security, Claude models, or setup? We have answers.
Absolutely not. Under Anthropic's commercial developer API agreement, zero customer inputs or generated completions are ever used to train or fine-tune models. Furthermore, Kareli processes repository AST in ephemeral runtime memory and discards tokens immediately upon posting the PR review.
Claude 3.7 Sonnet delivers world-leading benchmarks in coding reasoning, AST parsing, and nuanced instruction following. Its 200,000 token context window enables true full-repo dependency mapping without chunk truncation, making it vastly superior for production-grade code auditing.
Under 60 seconds. You simply authorize the Kareli GitHub App, select the repositories you wish to protect, and our bot automatically begins reviewing new pull requests. No configuration files are required to get started.
No. Kareli acts as an untiring senior staff engineer co-pilot. It flags subtle concurrency bugs, memory leaks, OWASP vulnerabilities, and drafts ready-to-merge patches so human engineers can focus purely on business logic and architecture design.