Enterprise-grade testing infrastructure that ensures your AI agents are production-ready, reliable, and secure.
Trusted by the engineers at
You shipped fast. But every vibe-coded feature has hidden regressions. Without an assurance layer, you're just scaling technical debt at 100x speed.
Vibe-coded code has hidden bugs. You shipped a feature in 30 minutes with Cursor. It works in the happy path. But does it handle null inputs? Race conditions? Edge cases you didn't think to test? Vibe coding trades velocity for visibility—you have no idea what you don't know.
Model updates break production. OpenAI ships GPT-5. Suddenly your agent that was reliable yesterday now hallucinates 20% of the time. Claude 4 changes tool calling format. You wake up to customer complaints because you had no early warning system for model drift.
Hours tweaking failing tests. CI/CD fails. The error message says "test timeout." You spend 2 hours manually debugging. Was it the code? The prompt? The test itself? Without clear root cause analysis, you're stuck in an infinite loop of tweaks and retries.
Identifying Root Cause...
Analyzing 2,842 parallel execution traces
[0.12ms] FETCH_AGENT_STATE_OK
[0.45ms] PROMPT_INJECTION_DETECTED: "IGNORE ALL PREVIOUS..."
Khwand provides the reliability layer for the modern AI stack. We ensure your agents behave as expected, from dev to prod.
Automatic detection of drift across model versions. When GPT-4o updates, we catch the 2% delta that breaks your logic.
Translates informal descriptions into deterministic specs. If your vibe changes, we update the tests.
Query our proprietary database of millions of catalogued failure patterns. Catch common pitfalls in multi-agent orchestration before they impact your users.
AST-based security analysis for agentic tool use. Automated detection of prompt injection, insecure tool access, and data exfiltration patterns.
Centralized error management with automatic recovery. Circuit breakers, retry policies, and graceful degradation keep your agents running.
Comprehensive validation and sanitization. Detect XSS, SQL injection, and path traversal attacks before they reach your agents.
Real-time system health checks and metrics. Automatic alerts for resource thresholds, error rates, and service degradation.
Intelligent pattern matching and quality assessment. Learn from successful fixes and get context-aware recommendations.
Code analysis across Python, JavaScript, TypeScript, and Java. Extensible architecture for additional languages.
Khwand AI doesn't just test your code—it intercepts, simulates, patches, and shields. Turn every PR into a self-healing deployment pipeline.
Transform informal natural language requirements ("vibes") into executable formal specifications. Our Spec Extractor ensures agent logic is bounded by verifiable constraints.
Generates multi-turn adversarial scenario suites tailored to your specific agent tools. We simulate complex failure cascades and context-boundary violations before they happen.
A Planner Agent generates 487 adversarial scenarios dynamically tuned to this agent's specific risk surface. Not a generic checklist — scenarios that exploit the exact tool combinations.
ReAct-based Healing Agents automatically generate and validate fixes for detected regressions. Using our Failure Atlas, we apply verified patterns to restore system stability.
Calculate real-time Stability Scores across 7 dimensions of agent reliability. Monitor performance trends and clear deployments only when confidence thresholds are met.
Continuous vulnerability scanning for prompt injection, data leakage, and unauthorized tool access. Real-time steering patches block exploits in production within seconds.
Trusted by the world's most ambitious AI teams
Real-time performance monitoring
Real results from real teams
Scroll the walkthrough
Your agent passes the happy path. Stability Score flags regressions before they reach production — with a clear before state.
Blocked
When agent handoffs fail or regressions occur, Khwand's Remediation Agent analyzes the failure trace, identifies root causes, and generates verified fixes automatically.
Whether you're building with LangGraph, CrewAI, or raw Python, Khwand plugs into your CI/CD pipeline to block regressions before they hit production.
STABILITY ALERT: Score dropped from 92 to 64. Adversarial simulation detected prompt drift in edge cases.
from khwand import KhwandClient
client = KhwandClient(api_key="kw_...")
# Translate vibe to formal spec
spec = client.vibe_to_spec(
function_src=inspect.getsource(my_agent),
vibe="handle division safely, no zero division errors with adversarial context"
)
# Access generated assertions
print(spec.full_spec_file)
Parsed vibe: 'handle negative shipping costs'
Generated 4 formal assertions for edge cases
Simulation found regression in Claude-3-Haiku
Applied steering patch to prompt template
Performance Lift
+12.4% vs Baseline
Khwand automatically generates tests for multi-agent systems, ensuring 98.2% stability through automated failure detection and code healing.
2.4M+
1.2K+
We're continuously expanding Khwand's capabilities. Here's what we're building next to make multi-agent testing even more powerful.
Automated pipeline fixes that heal failed deployments before they reach production
Convert natural language requirements into formal test specifications automatically
Orchestrate and monitor entire fleets of AI agents from a single dashboard
AI-powered prediction of potential agent failures before they occur
Centralized error management with automatic recovery, circuit breakers, and retry policies
Real-time system health checks, metrics collection, and automated alerting
Intelligent pattern matching, quality assessment, and continuous learning from fixes
Code analysis across Python, JavaScript, TypeScript, and Java with extensible architecture
We've catalogued millions of code patterns and prompt structures across different models. You know exactly why GPT-5 fails where Claude 4 succeeds. This isn't theoretical—it's hard data from real-world regressions. Every scan makes our Failure Atlas smarter.
Unlike competitors who use "AI to judge AI," we execute your code in isolated environments. Real inputs, real outputs, hard truth. No hallucinated evaluations. When we say a test passes, it actually ran and produced the correct result deterministically.
We integrate with LangGraph, PydanticAI, CrewAI, Vercel, and more. We become the industry standard for AI-native CI/CD—a position the big model labs can't occupy because they're biased toward their own models. Neutral, comprehensive, essential.
The only tool that translates "vibey" intent into deterministic software specs. When you say "handle errors gracefully," we know what that means across 5+ models and can verify it was implemented correctly. Vibe coding meets enterprise rigor.
Comprehensive error handling with circuit breakers, retry policies, and graceful degradation. Your agents recover automatically from transient failures without manual intervention. Built-in health monitoring keeps you informed of system status in real-time.
Our advanced fix pattern system learns from successful fixes across your codebase. Get intelligent recommendations with quality assessment, confidence scoring, and context-aware suggestions. Continuous improvement makes your agents smarter over time.
Support for Python, JavaScript, TypeScript, and Java with extensible architecture for additional languages. Analyze code structure, generate tests, and detect issues across your entire polyglot codebase from a single platform.
Comprehensive input validation and sanitization detects XSS, SQL injection, and path traversal attacks before they reach your agents. Security scanning with 15+ rules ensures your agents are protected from common vulnerabilities.
Every agent Khwand tests teaches it something new. A failure mode discovered in a legal agent becomes an attack scenario in every future legal agent's plan.
Free during private beta. Founding members lock in lifetime pricing at launch.
Free
For solo developers shipping vibe-coded projects.
Pro
For engineering teams shipping AI-native products at speed.
No credit card required · Founding pricing locked in at signup
Khwand AI is a self-healing CI/CD platform for AI-generated code and agentic prompts. Unlike traditional CI/CD that just checks if tests pass, we detect, test, and patch regressions automatically. We intercept PRs, generate synthetic test suites, run multi-model benchmarks, auto-fix failures, and shield production—all in one platform.
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