QANTUM
Slack-Native Multi-Agent QA Orchestrator
A Slack-native multi-agent QA orchestration platform routing engineering and QA requests across specialized agents via an extensible capability protocol. Features shared and user memory, Model Context Protocol (MCP) integrations, and autonomous MR/PR generation and validation flows—backed by production usage across ~100 engineers.
The Core Challenge
Engineering Solution & Implementation
Architected a Slack-native orchestrator that routes user intents to specialized subagents via capability protocols and MCP tool registries, with dynamic model routing and persistent semantic memory. Production usage since Aug 2026 backs the architecture: thousands of agent runs, Slack-thread adoption, and gated confirmation flows where awaiting approval is not counted as failure.
Figure 2: QANTUM's multi-agent capability protocol routing tasks between Slack and specialized agent workers.
Verified Outcomes & Deliverables
Adopted by ~100 engineers with 5,199 agent runs and 1,430 Slack threads in roughly eight weeks (floor from Aug 2026).
671 capability runs and 44 agent-authored merge requests in the same window.
0.17% run failure rate; confirmation-gate awaiting-approval states are not treated as failures.
Median run latency 10.7s at ~$0.19/run (~$1,010 LLM spend, 645M tokens), with MoM growth of +62% runs and +47% users.