FFMPerative

Remyx is a decision intelligence platform that sits between your AI coding agents and production, helping AI teams identify the highest-impact next improvement across prompts, retrieval, tools, and routing. It ranks candidate changes against your codebase, constraints, and past results, then opens a draft pull request with reasoning and a diff—so you focus on the change most likely to move the needle. Designed for teams practicing experiment-driven development, Remyx turns evaluation results, experiment history, and production outcomes into a shared system for prioritizing improvements. Outrider, Remyx's flagship product available on the GitHub Marketplace, scans recent research and matches promising techniques to your repository, running automated checks for fit, reachability, and license. It has produced real draft PRs on well-known public repos like huggingface/trl, letta-ai/letta, axolotl-ai-cloud/axolotl, huggingface/lerobot, and huggingface/peft—with visible candidate funnels from 25 initial prompts down to one high-confidence PR. The platform integrates with GitHub, Linear, MLflow, Weights & Biases, and Slack, and works with Claude Code as the first supported model provider. It also offers a CLI (pip install remyxai), an MCP server for Claude Code and other MCP clients, and a REST API. The ExperimentOps dashboard provides a portfolio view of decisions and experiment history, with every result feeding sharper future recommendations. Security is handled via a scoped GitHub App with per-repo access, server-side key handling, and human-gated merges. Compared to alternatives like LangSmith or Weights & Biases, Remyx focuses specifically on recommending the next improvement rather than just tracking experiments. Its draft PR approach makes it practical for teams that want automated suggestions grounded in their codebase and past results. Early adopters can join the design partner program through summer 2026 for hands-on founder support and preferred pricing.