Grok Bot for Developers: Essentials — Bots for Engineering Work

The developer starting point for Grok Bot: when to hand engineering work to a Bot instead of Grok Build, Cursor's agent or Cloud Agents, how the Bot's cloud computer, terminal and /workspace folder work, connecting GitHub and an issue tracker, handing over test credentials safely, and asking for evidence you can check. You also use your team's engineering Bot through Shared Bots (formerly called Team Bots) and @mention it in Slack. Ends with a lab that turns a bug report into a reproduction pack on a small sample app.

What this course covers

The course runs across 8 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

When to use Grok Bot vs. Grok Build, Cursor's agent or Cloud Agents — Grok Bot finishes work across apps and the browser, holds standing roles, runs routines and powers Shared Bots (formerly called Team Bots); Grok Build codes in your terminal, Cursor's agent codes in the editor, and Cloud Agents are Cursor's remote coding agents a Bot can delegate to. Sort real engineering tasks (repro, triage, docs, a code fix) to the right one.
The cloud computer for engineers: terminal, shared workspace folder, browser — Each user has one persistent cloud computer with a browser, terminal and the shared /workspace folder, used by all their Bots, each on its own screen. Watch it in the right-hand panel, redirect mid-task, and remember it is not a security boundary between your own Bots.
Connect GitHub, Linear or Jira, and what the Bot can see — Install apps as plugins from Connect apps in the sidebar; they are account-wide, so every Bot can use them, and OAuth tokens stay on Cursor's connector backend. Connect only what the job needs, choose Authenticate if an app shows Needs auth, prefer the app over clicking the website, and expect "Disabled by team admin" where policy blocks one.
Test credentials through secure handoff, never in chat — Use a fresh staging test account. Hand over an API key through the secure secret card (masked, never shown to the Bot), let Vault or the Secure Form fill logins, and for SSO, passkeys or CAPTCHAs choose Open computer, finish only that step and choose I'm done. Never paste passwords, tokens or one-time codes into a message.
Running commands on your own machine: the local execution setting — Your laptop is separate from the Bot's cloud computer. Settings → Computer → Your computer → Execution on this computer is Ask every time by default, with Always allow and Never allow; an admin can cap it, and most engineering work should stay on the cloud computer.
Shared Bots: use your team's engineering Shared Bot and @mention it in Slack — Find it with + → Browse shared Bots → Add, or open a teammate's link → Start a chat, and @mention it in a Slack channel after linking under Settings → General → Shared Bots → Link. A connected account always acts as the person it is answering (you), what it saves for the team is separate from what stays between you and the Bot, and Slack channel threads run on one shared computer.
Ask for evidence: steps, screenshots, logs and links — Ask for exact commands, terminal output, a screenshots or logs folder in /workspace and source links, with facts found, assumptions, completed actions, pending approvals and open questions kept apart. Check at least one result yourself before you trust the rest.
Lab: turn a bug report into a reproduction pack in staging — Brief a focused Bot with the sample bug report and quote tool, get a reproduction pack with a minimal failing case and terminal evidence, check it against the spec, and hand a draft issue to your engineering Shared Bot.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Software engineers, SREs, QA engineers and technical operators. The material is pitched at beginner level, and takes roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: Grok Bot track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including branching scenario, guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

Grok Bot: Essentials — Get everyday work done with Grok Bot. Learners set up a focused Bot, write clear requests, attach files, sign in safely, connect apps, handle approvals, and start using one of their team's Shared Bots (formerly called Team Bots) in the app and in Slack. By the end they can take a read-and-prepare task from request to a reviewed, unsent result.
Grok Bot for Developers: Essentials — Incidents & Performance Playbook — A focused 45-minute playbook for incidents and performance work with Grok Bot. Learners hand a Bot a sampled request log and the deploy log from a latency regression, have it measure before and after on its cloud computer, and separate facts from hypotheses with the highest-impact cause first. They finish by setting up a recurring, read-only health report as a Shared Bot (Shared Bots were formerly called Team Bots), or by writing that setup down, with no unsupervised production changes.
Grok Bot: Essentials — Sales & Accounts Playbook — A focused, 45-minute playbook for sales and account work in Grok Bot. Learners have a Bot research and score accounts against an ideal customer profile, prepare review-ready outreach drafts that are never sent, and build a weekly account-health watch list - then see the same job as one Bot the whole sales team can use through Shared Bots (formerly called Team Bots).
Grok Bot: Essentials — Chief of Staff Playbook — A focused, 45-minute playbook for running a daily digest with Grok Bot. Learners have a Bot pull email, Slack, calendar and notes into one source-linked digest, map it to priorities and the decisions an executive owes, tune out noise and schedule it - then see how a leadership team could share the same job through Shared Bots (formerly called Team Bots).
Grok Bot: Intro — A short first look at Grok Bot, the app where named AI teammates called Bots finish work inside your tools. Learners see how it differs from Grok, how a Bot uses its own cloud computer and stops for approval, and how Shared Bots (formerly called Team Bots), one Bot the whole team chats with, differ from your own Bots, then hand a first Bot one small read-only task.
Cursor & Grok Bot for Developers Pathway — One path for engineering teams that use Cursor with Grok Bot included. A placement check for each tool sends you to the right Cursor course and the right Grok Bot course. Also includes 8 optional playbooks (Testing, Code Review, Refactoring & Migration and Docs & Onboarding for Cursor; Testing, Code Review, Incidents & Performance and Docs & Onboarding for Grok Bot) to take any time after Essentials; they don't count toward the certificate.
Grok Bot for Developers Pathway — Grok Bot for engineers and technical operators: Bots for engineering work, custom connections and secrets, event-triggered routines, engineering Shared Bots (formerly called Team Bots), and administering and securing Grok Bot across a company. Also includes 4 optional playbooks (Testing, Code Review, Incidents & Performance, Docs & Onboarding) to take any time after Essentials; they don't count toward the certificate.

Frequently asked questions

How long does this course take?

It runs roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-GBOT-DEV-101.