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SelfHeal

AI agents build and self-repair your API integrations 24/7

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Every business runs on app-to-app connections that break whenever a vendor changes their API - and they usually break silently. SelfHeal's AI agents build the integration, monitor it 24/7, and when it breaks they rewrite the connector code, test it against the live API, and redeploy in ~16 seconds. Every version kept, fully reversible. Try the interactive demo: press the 💥 button, break it yourself, and watch it heal at getselfheal.com.

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Features

• AI-built integrations - working connector from a live API sample in ~12s

• Self-healing - broken connectors rewritten, tested, redeployed in ~16s

• Test-before-deploy - strict output contract, fail-closed validation

• Versioned rollback - every connector version kept, one-step reversal

• 24/7 monitoring with visible repair logs

• Interactive live demo - break it yourself

Use Cases

• Shopify/e-commerce stores syncing orders to QuickBooks or Xero without silent data loss

• Payments (Razorpay/Stripe) flowing into Google Sheets or accounting tools

• Bookkeepers and agencies maintaining client data pipelines

• Any small business that pays for automation but can't afford to babysit it

Comments

Solo founder here 👋 Before writing a line of code, I read 40+ one-star reviews of the big automation tools. The same sentence kept appearing: "it worked for months, then silently stopped." One store found 11% of a year's orders had never reached their books. The lesson: people don't distrust automation because they love manual work - they distrust it because broken automation is worse than none. So SelfHeal is built trust-first: every AI-written fix is tested against the live API before deploy, everything is versioned with one-step rollback, and the demo is interactive - you can break it yourself and watch it heal in ~16 seconds at getselfheal.com. Happy to answer anything - and looking for pilot businesses (free during beta, pay nothing until it runs clean for 30 days).

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i like to explore

Autonomous recognition—that's a great idea.

The fail-closed validation, visible repair logs, and versioned rollback address the main trust risk in self-repairing integrations. The page could add who approves a redeploy and what alerts fire before and after a repair.

The fail-closed test step and reversible versions are important. When an API changes both its schema and semantics, what prevents a syntactically valid repair from silently writing the wrong business data? Do you support fixture assertions or human approval before production redeploy for high-risk connectors?

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Builder. Currently working on Audeep, a ...

The repair loop timing is the right metric to optimize. My question is about the output surface: "rewrite the connector code" is a large trust boundary if that means arbitrary Python. Testing validates functional correctness but a constrained DSL or permitted-operations schema would make the fail-closed guarantee more robust than testing alone can.

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Data science

SelfHeal has great potential! A few improvements could make it even better. I'd love to share my feedback and suggestions. Email: [email protected]

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Comments

Solo founder here 👋 Before writing a line of code, I read 40+ one-star reviews of the big automation tools. The same sentence kept appearing: "it worked for months, then silently stopped." One store found 11% of a year's orders had never reached their books. The lesson: people don't distrust automation because they love manual work - they distrust it because broken automation is worse than none. So SelfHeal is built trust-first: every AI-written fix is tested against the live API before deploy, everything is versioned with one-step rollback, and the demo is interactive - you can break it yourself and watch it heal in ~16 seconds at getselfheal.com. Happy to answer anything - and looking for pilot businesses (free during beta, pay nothing until it runs clean for 30 days).

custom-img
i like to explore

Autonomous recognition—that's a great idea.

The fail-closed validation, visible repair logs, and versioned rollback address the main trust risk in self-repairing integrations. The page could add who approves a redeploy and what alerts fire before and after a repair.

The fail-closed test step and reversible versions are important. When an API changes both its schema and semantics, what prevents a syntactically valid repair from silently writing the wrong business data? Do you support fixture assertions or human approval before production redeploy for high-risk connectors?

custom-img
Builder. Currently working on Audeep, a ...

The repair loop timing is the right metric to optimize. My question is about the output surface: "rewrite the connector code" is a large trust boundary if that means arbitrary Python. Testing validates functional correctness but a constrained DSL or permitted-operations schema would make the fail-closed guarantee more robust than testing alone can.

custom-img
Data science

SelfHeal has great potential! A few improvements could make it even better. I'd love to share my feedback and suggestions. Email: [email protected]

Premium Products