How Superfiliate's Busy Engineers Adopted AI—Without Slowing Daily Releases

Superfiliate helps brands spin up co-branded landing pages for every ambassador, influencer and affiliate—and the feature requests never stop coming.

This relentless velocity left little time for "AI upskilling projects." Engineers were at full capacity hitting daily releases across six feature squads. Taking time away from shipping meant missing critical revenue opportunities.

Yet leadership knew AI practices had to be baked in now, not "next quarter." The team needed a way to adopt AI without breaking their proven shipping rhythm.

DevClarity ran an AI Coding Jumpstart to train the entire Superfiliate development team. The jumpstart mixed quick demos with 30-60 minutes of hands-on project work. In between sessions, engineers pushed live code and expanded on the training. Nothing was theoretical.

• Context for AI coding tools: Engineers codified standards (React, TS, GraphQL, Tailwind, Sorbet) once; rules are now automatically included in AI prompts.
• Prompt-template factory: Reusable templates to create tests for new code, to update dependencies, and to clean files.
• Model Context Protocol (MCP) rollout: Linear, GitHub and Shopify MCP servers wired in, so agents work with real-time context.
• Background-agent playbook: Solve "paper-cut" by queueing autonomous fix-and-PR loops.

A four-week training engagement cost less than one sprint of blended engineering time—and unlocked a permanent, AI workflow that keeps paying back every release:

• Consistency at scale: Same patterns and styling rules auto-enforced across all developers.
• Augmented implementation: MCP agents guide the developer from a Notion product document to a Linear ticket to a completed development effort.
• Strong foundation: The team is now ready to explore background agents and push the limits of AI-enabled development.

Superfiliate now estimates that at least 80% of their development tasks are augmented by AI. Most importantly, engineers never had to pause their daily shipping rhythm—they adopted AI while continuing to deliver features customers needed.