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Built Réseau during the Graph8 Hackathon!
Software teams use GitHub, Linear, and dozens of other tools, but their context is fragmented across platforms.
We explored a way to bring it all together.
Réseau is an AI-powered operations layer that uses MCP to connect engineering tools, consolidate project context, and enable more intelligent, evidence-backed workflows.
The interesting challenge wasn't just integrating AI with APIs. It was making AI agents context-aware enough to work meaningfully across existing development systems.
Built around AI agents, MCP, and developer workflow automation.
A challenging and rewarding two-day hackathon experience!
#AIEngineering #AIAgents #MCP #DeveloperTools
The hardest part of this is definitely preventing the AI from hallucinating context when it pulls from disconnected tools like GitHub and Linear.
Which workflow came together best during the hackathon? I'd be interested to hear what Réseau could do with GitHub and Linear together that was awkward to do in either tool on its own.
The most interesting workflow was bringing GitHub and Linear context together. Normally, Linear tells you what needs to be done, while GitHub shows what's actually happening in the code. With Réseau, I explored using MCP to connect both, allowing an AI agent to understand tasks...
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Take a look and try the demos: remanis.se
If you’re thinking about where AI could save your team real hours, I’m happy to talk.
