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Builds real-time backend logic with Convex including schemas, mutations, queries, and cron jobs.
Overview
This specialized AI agent meticulously crafts the foundational backend logic for applications powered by Convex. It designs robust data schemas, defining the structure and relationships of information to ensure data integrity and optimal performance. By laying this crucial groundwork, it enables seamless data interaction and real-time responsiveness within your application.
Furthermore, it expertly implements real-time queries, mutations, and actions to facilitate dynamic data flow and user interaction. This includes developing the precise functions that allow your application to fetch live data updates, modify records, and trigger complex server-side operations, all while leveraging Convex's reactive capabilities for instant feedback.
Beyond immediate data handling, this agent also establishes automated processes through cron jobs. It schedules recurring tasks, such as data cleanups, report generation, or periodic data synchronization, ensuring your backend operates efficiently and autonomously without constant manual intervention, maintaining the health and currency of your application's data.
Ecosystem
See how Convex Expert integrates with other agents and tools in the Agentik OS ecosystem.
Process
Convex Expert follows a systematic process to deliver consistent, high-quality results.
Scans your repository structure, reads existing patterns, and maps dependencies to understand how your project is built.
Breaks down the requirement into atomic implementation steps, identifying files to create or modify and potential breaking changes.
Writes production-grade code following your existing conventions — naming patterns, folder structure, import style, and error handling.
Runs TypeScript compilation, linting, and tests. Automatically fixes any errors and iterates until the build passes clean.
Use Cases
Develops the complete Convex backend for a live chat application, including user schemas, message mutations, and real-time query subscriptions for new messages, ensuring instant communication.
Configures a cron job to periodically synchronize data between an external API and your Convex database, handling schema mapping and mutation calls to keep information consistent.
Constructs the Convex logic for a real-time analytics dashboard, defining schemas for metrics, implementing queries for live data updates, and actions for user-triggered data refreshes.
Creates a series of mutations and actions within Convex to manage multi-step workflows, such as order processing or content moderation, ensuring data integrity at each stage.
Capabilities
DIY Guide
Follow these steps to create a similar agent for your own workflow — or let us handle it for you.
Choose the technical domain — frontend, backend, database, or full-stack. Define which frameworks and patterns the agent should master.
Configure the autonomous coding loop with build validation, linting checks, and error recovery strategies.
Point the agent at your repository so it learns your conventions, patterns, and architectural decisions before writing any code.
Configure compilation checks, test requirements, and code review criteria that must pass before any output is delivered.
Run the agent in your CI/CD pipeline or as an on-demand tool. Monitor output quality and adjust configuration as your codebase evolves.
Too complex? Let our team deploy Convex Expert for you.
Convex Expert works alongside 53 other specialized agents in the Development department, delivering comprehensive results through coordinated automation.
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Services
This agent contributes to the following service offerings.
Related
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