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<p>Fablo is a tool mostly used for local development and in CI. It starts a Hyperledger Fabric network from a single configuration file, and supports various features that makes the development easier (REST API, network snapshots, advanced topology configuration, hooks, etc). It supports Hyperledger Fabric in versions 2.x and 3.x. Last year we were able to ensure feature parity between versions.</p><p><br></p><p>The target user of Fablo is the developer who works with the local Hyperledger Fabric network to either experiment with various topologies or work on contracts. The goal of this internship is to improve the overall developer experience by:</p><p><br></p><ul><li>Ensuring we have up to date and more approachable documentation, kept up to date with the help of AI CI workflows.</li><li>Improving Fablo distribution by supporting npm package along with existing Docker image distribution.</li><li>Resolving friction that is related to random errors, or slow responsiveness of the network setup.</li></ul><p><br></p><p>While a significant part of the proposal is improving the documentation Fablo, the most focus is on automating the process of keeping documentation up to date. This is why the primary focus of this proposal is coding.</p><h3><br></h3><h3>Learning Objectives</h3><ul><li>Designing and implementing GitHub Actions workflows</li><li>Using AI agent workflows in real use cases</li><li>Creating concise and approachable documentation</li><li>Debugging and resolving complex issues</li><li>Experience with Hyperledger Fabric network topology, setup and configuration</li></ul><h3><br></h3><h3>Expected Outcome and Deliverables</h3><ul><li>GitHub Pages with documentation</li><li>GitHub Actions using AI workflows to keep the documentation up to date</li><li>Agent skill file for Fablo</li><li>An additional channel of distributing Fablo (npm)</li><li>PRs with fixes towards reducing developer friction</li></ul><p><br></p><p>Learn More at <a href="https://github.com/LF-Decentralized-Trust-Mentorships/mentorship-program/issues/84" rel="noopener noreferrer" target="_blank">https://github.com/LF-Decentralized-Trust-Mentorships/mentorship-program/issues/84</a>.</p>
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<p>Fablo is a tool mostly used for local development and in CI. It starts a Hyperledger Fabric network from a single configuration file, and supports various features that makes the development easier (REST API, network snapshots, advanced topology configuration, hooks, etc). It supports Hyperledger Fabric in versions 2.x and 3.x. Last year we were able to ensure feature parity between versions.</p><p><br></p><p>The target user of Fablo is the developer who works with the local Hyperledger Fabric network to either experiment with various topologies or work on contracts. The goal of this internship is to improve the overall developer experience by:</p><p><br></p><ul><li>Ensuring we have up to date and more approachable documentation, kept up to date with the help of AI CI workflows.</li><li>Improving Fablo distribution by supporting npm package along with existing Docker image distribution.</li><li>Resolving friction that is related to random errors, or slow responsiveness of the network setup.</li></ul><p><br></p><p>While a significant part of the proposal is improving the documentation Fablo, the most focus is on automating the process of keeping documentation up to date. This is why the primary focus of this proposal is coding.</p><h3><br></h3><h3>Learning Objectives</h3><ul><li>Designing and implementing GitHub Actions workflows</li><li>Using AI agent workflows in real use cases</li><li>Creating concise and approachable documentation</li><li>Debugging and resolving complex issues</li><li>Experience with Hyperledger Fabric network topology, setup and configuration</li></ul><h3><br></h3><h3>Expected Outcome and Deliverables</h3><ul><li>GitHub Pages with documentation</li><li>GitHub Actions using AI workflows to keep the documentation up to date</li><li>Agent skill file for Fablo</li><li>An additional channel of distributing Fablo (npm)</li><li>PRs with fixes towards reducing developer friction</li></ul><p><br></p><p>Learn More at <a href="https://github.com/LF-Decentralized-Trust-Mentorships/mentorship-program/issues/84" rel="noopener noreferrer" target="_blank">https://github.com/LF-Decentralized-Trust-Mentorships/mentorship-program/issues/84</a>.</p>