Grok Bot setup with 84 specialist agents shown to MIT students

Solomon Rojie @SolomonrojieOriginally posted 2026.10.22

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SPACEXAI JUST SHOWED MIT STUDENTS THE GROK BOT SETUPS ITS OWN ENGINEERS USE. THIS IS PURE F*CKING GOLD 84 specialist agents. 320 reusable skills. 110 workflows. an entire engineering department running inside Grok Bot from a rough feature request to reviewed code, with dedicated agents catching broken tests, security gaps, and expensive design mistakes along the way the interesting part is the order: the builder starts after the plan is approved a reported bug gets a reproducible test before anyone attempts the fix and the reviewer gets a fresh context, so it judges the change without the builder’s explanation of why it should work the agents are organized into 6 working groups: → Planning: turns your request into scope, constraints, acceptance checks, and a proposed implementation. you approve it before coding begins → Implementation: makes the agreed change using the repository’s existing patterns and keeps unrelated cleanup out of the patch → Testing: reproduces the failure, checks the fix, and exercises the nearby behavior most likely to break → Independent review: receives the brief, diff, and test results, then looks for missing requirements and regressions → Security: checks exposed secrets, risky dependencies, permissions, and unsafe handling of inputs before release → Architecture: challenges changes that introduce unnecessary complexity or make the next feature harder to build the security group deserves more attention. a feature can pass its happy-path test while still exposing data or trusting an input it shouldn’t the reviewers give you separate opportunities to catch those failures before the change reaches customers here’s how to put it to work without activating the entire stack: → choose one small task in an isolated branch → write the acceptance checks and ask the planner for its approach → let the builder implement only the approved scope → give testing and review the actual patch and evidence → return specific failures for one focused correction → keep unresolved issues visible and make the merge decision yourself start with planning, implementation, and review. add specialist agents when the project gives them a clear job a small bug fix shouldn’t trigger a company-wide architecture debate. a change to authentication probably deserves more scrutiny than a copy edit save this before your next “the agent said it was done” the guide below explains how to keep the context lean and failed attempts contained as you add more agents to the workflow ↓

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