Automating Repetitive Platform Work with 7 AI Agents
The author built a plugin system with 7 specialized AI agents to automate repetitive tasks in their platform development work, including creating connectors, dashboards, and widgets.
Why it matters
This demonstrates how AI can be used to automate repetitive software development tasks, improving efficiency and reducing human error.
Key Points
- 1Agents were built to handle the different phases of platform development (PM, architecture, testing)
- 2Agents learn from mistakes through a self-improvement loop, getting smarter over time
- 3Agents are designed to follow specific format and patterns used by the team, not generic templates
Details
The author, who builds things on the DevRev platform, was frustrated by the repetitive nature of their work - creating connectors, dashboards, and widgets that followed the same steps each time. To address this, they used the AI assistant Claude to build a plugin system with 7 specialized agents to automate these tasks. The agents cover the different phases of development, from gathering requirements to architecture and testing. The key insight was to be very specific about the formats and patterns used by the team, rather than relying on generic templates. The agents also have a self-learning capability, where they can identify and fix their own mistakes, getting smarter over time. This architecture, with separate agents for different verticals and a cross-cutting skill improver, resulted in over 6,400 lines of agent instructions that can be invoked through simple slash commands.
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