
Shreshth Goyal
Shreshth Goyal is a Software Engineer at Curefit who builds AI systems that actually run in production. He spends his days orchestrating agents, wiring up LLM pipelines, and making sure retrieval does not hallucinate at scale. He writes about AI tooling on dev.to and moderates the community so the comments stay useful. He has a soft spot for edge devices, an unhealthy obsession with equity backtesting, and firmly believes most AI demos would not last a day in production.
Sharing an Agent Shouldn't Scare You. Here's What We Learned.
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Sharing an Agent Shouldn't Scare You. Here's What We Learned.

The gap between "agent on my laptop" and "agent for the team" is wider than most people realize. We crossed it. This is what's on the other side.
When every developer runs their own agent, context scatters. Skills diverge. Lessons learned in one session never reach the next person. We wanted a single agent that the whole team could rely on: shared skills, shared memory, zero sessions colliding, and a clear answer to who can do what. Building that meant rethinking storage, isolation, access boundaries, and how config files become team infrastructure. The result changed how our engineers ship. This talk is the architecture that got us there, the decisions we'd defend, and the ones we wouldn't.
When every developer runs their own agent, context scatters. Skills diverge. Lessons learned in one session never reach the next person. We wanted a single agent that the whole team could rely on: shared skills, shared memory, zero sessions colliding, and a clear answer to who can do what. Building that meant rethinking storage, isolation, access boundaries, and how config files become team infrastructure. The result changed how our engineers ship. This talk is the architecture that got us there, the decisions we'd defend, and the ones we wouldn't.