Your next user isn't human
Restoring the feedback loop and developer communities in the era of code agents.
We're at an inflection point. AI writes nearly half our code today, yet we're still building tools for human developers. The result? A broken feedback loop where AI-generated code requires constant human intervention, reviews, and fixes, only to be regenerated again.
What if we stopped pretending AI is just another developer on the team? What if our tools understood that machines, not humans, are increasingly the primary consumers of our APIs, documentation, and codebases? At Mainline, we're building for this reality: systems that speak fluently to both human and AI developers, breaking the cycle of generate, fix, repeat.
This isn't about replacing developers, it's about amplifying them. When your tools understand AI as a first-class user, the broken loop becomes a virtuous cycle, where every interaction makes the system smarter, every fix teaches the AI, and every project builds on collective intelligence rather than starting from scratch.
Why collective memory matters
what memory is for
Personalization
Improve future generations with implicit or explicit user or group preferences.
Practices
Improve future generations by relying on past generative discoveries.
what is in-memory learning
Interpret and comprehend the agent's intent
Search memory for relevant past scenarios, discoveries, or lessons learned
Present token efficient recommendation for next action(s)
Submit recommendation performance for continuous improvement
Reflects and optimises memories for future retrieval
shared memory
In-memory learning occurs faster with a larger set of learning signals when memory learnings are shared across participants.
About the memory company
MemCo is the shared memory company. Founded in 2025 by Scott Taylor and Valentin Tablan, we're building the layer that lets AI agents and teams learn from each interaction, retain institutional knowledge, and surface the right advice at the right moment. Our goal: make collective learning a first-class capability across tools, APIs, and enterprise workflows.