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Kiro-CI

Trustless CI: AI fixes, Chain verifies.

Created on 30th December 2025

K

Kiro-CI

Trustless CI: AI fixes, Chain verifies.

The problem Kiro-CI solves

The problem it solves
The Problem: "Blind Trust" in DevOps Modern CI/CD pipelines (like GitHub Actions or CircleCI) are centralized "black boxes." Developers blindly trust that the code they wrote is the code being deployed.

Supply Chain Attacks: If a CI server is compromised, hackers can inject malicious backdoors into trusted apps (similar to the infamous SolarWinds or xz-utils attacks).

Slow Feedback Loops: Developers waste hours waiting for cloud pipelines to queue and run, only to fail on a simple error.

The "Web3 Verification Gap": In crypto, "Code is Law," but we currently have no on-chain proof that a deployed smart contract actually passed its security tests.

The Solution: Kiro-CI (The Trustless Pipeline) Kiro-CI moves the entire DevOps pipeline "Left"—running it locally and securely inside the Kiro IDE before the code ever leaves your machine.

Eliminates Centralized Risk (Local-First): By using Kiro Native Hooks, we run tests and security audits locally. No external CI server has access to your private keys or uncompiled code.

Agentic "Self-Healing" Workflows: Most tools just report errors. Kiro-CI fixes them. Our AI Agent detects vulnerabilities (like Reentrancy), autonomously rewrites the code to patch them, and re-runs the tests to ensure safety without human intervention.

Cryptographic Enforcement (EAS on Base): We replace "trust me, I tested it" with on-chain proof. Kiro-CI mints an Ethereum Attestation (EAS) linked to the specific Git Commit Hash. Our custom "Gatekeeper" smart contract prevents deployment unless this validity proof exists on-chain.

Challenges we ran into

  1. The "Fragile Regex" Problem (Agentic Repair) Building the "Self-Healing" agent was the hardest part. Initially, our regex patterns for detecting and fixing Solidity vulnerabilities (like Reentrancy) were too brittle. If a developer formatted their code with different spacing or comments, the Agent would break the file while trying to inject the nonReentrant modifier.

How we solved it: We moved from simple string replacement to a more robust AST-like parsing strategy. We created a rigorous test suite of "badly formatted" contracts to ensure the Agent could identify the correct injection point 100% of the time without corrupting the syntax.

  1. Verifying Attestations On-Chain (Foundry + EAS) Integrating the Ethereum Attestation Service (EAS) into a Foundry deployment script was tricky. We needed the deployment transaction to revert if an attestation didn't exist, but checking dynamic bytes and schema UIDs inside a Solidity constructor is complex and prone to gas errors.

How we solved it: We built a custom "Gatekeeper" contract that acts as a proxy. It uses a specialized Resolver to pre-validate the schema structure before allowing the final CREATE2 deployment call. This ensured that our "Code is Law" promise was mathematically enforced on Base Sepolia.

  1. Async Race Conditions (Local vs. Cloud) We faced a race condition where the CLI would try to upload the build artifact to AWS S3 before the file zipping process had fully closed the stream, resulting in corrupted 0-byte uploads.

How we solved it: We refactored the CLI's control flow to use strict await promises. We implemented a "lockfile" system that prevents the S3 upload from initializing until the local archiver library emits a distinct finalize event, ensuring data integrity.

Tracks Applied (3)

Ethereum Track

On-Chain Supply Chain Security with EAS & Base We are building critical infrastructure for the Ethereum ecosystem. Kiro-...Read More
ETHIndia

ETHIndia

Best Innovation

Redefining CI/CD as an Agentic Security Protocol Most DevOps tools are passive notification systems—they just tell you "...Read More

AWS

Most Creative Use of Kiro Platform Turning the IDE into an Autonomous DevOps Agent We didn't just build a "dApp" using ...Read More

AWS

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