AI IDE Pilot Plan for 10 Developers

Four controls decide whether security will sign off: who has access, what the policy allows, how data moves and whether anyone measures adoption. Settle them before the pilot starts, because they apply whichever tool you pick.

The owner column matters as much as the controls. A control with no named owner goes unchecked until someone has to answer for it. If nobody owns identity, for example, nobody checks that people who leave lose access.

Security does not own all four. Identity is IT's system of record, and policy is engineering leadership's call about what the team may ship. Adoption belongs to whoever owns developer experience. Security owns the data-flow question and the audit path, and it will ask about both.

Data flow is the question that stalls approvals, so answer it before the review meeting. Write down what the tool can read, what it can change, what leaves your network and where any of it is retained. Most of the answers come from the vendor's documentation and your own configuration. Ask the vendor for anything the documentation leaves out, and note where each answer came from.

The stack below breaks a rollout into layers. Policy comes first because the other layers carry it out. Identity controls who gets access, workflow moves code from prompt to merge, and measurement shows whether the rollout is working.

Start narrow, and expand only when the pilot earns it.

1. 1Week 1: pick one team, one repo and three realistic tasks.
2. 2Week 2: write the workflow standard from the pilot.
3. 3Week 3: train champions and add policy guardrails.
4. 4Week 4: expand only after quality, cost and review load are visible.

Treat the four weeks as an order, not a deadline. The first two weeks mostly show you what your standard should say. A pilot too broad to watch closely can't teach you that, so it starts with one team and a few real tasks. Pick the team that will tell you when something breaks, even if another team would produce a better-looking result. Put policy and training in place before the rollout grows, because both are harder to add once people have formed their own habits.

Expansion is the step to slow down. After a good pilot, the pressure to widen access can arrive before the evidence does. Before you add teams, answer three questions with numbers: did review load go up or down, what does a developer cost per month, and did quality hold.

Record the same numbers before the pilot starts, so you have a baseline to compare against. Two more weeks of the same pilot cost less than a rollout you have to walk back, so run them if any answer is still a guess.

Cursor ships often, so advice about it can go out of date. The table summarizes Cursor's recent releases, so you can check this page against the current product. For each release's date and sources, see What's new in Cursor 2026.

Cursor bills per active paid seat, not a pre-allocated block, so the pilot pays for ten seats while it runs. On The X SubscriptionThe subscription Cursor is sold through: one plan for Grok, Cursor and X, with Free, Plus, Premium, Super and Ultra tiers, per-seat Teams, a weekly included pool for Cursor models shared with Grok, and third-party models billed at API list price from prepaid credit. Press Enter for the full definition., the lowest paid Teams seat is Premium at $30 per user per month. A team created before The X Subscription keeps legacy Standard seats, at $40 monthly or $32 per seat per month on an annual plan. New members are charged pro-rata for the rest of the billing period.

Whoever runs the pilot doesn't need one of those seats. An Unpaid Admin manages billing and security settings without using a paid seat, so all ten can go to people writing code.

Stopping is cheap but not instant, so learn how it works before you promise finance a clean exit. If a removed member used any credits, their seat stays billable until the billing period ends. On The X SubscriptionThe subscription Cursor is sold through: one plan for Grok, Cursor and X, with Free, Plus, Premium, Super and Ultra tiers, per-seat Teams, a weekly included pool for Cursor models shared with Grok, and third-party models billed at API list price from prepaid credit. Press Enter for the full definition., removing a member frees the seat for the next person, so reduce seats in billing to stop paying for it at the end of the period. Removal ends the person's team access but doesn't delete their Cursor account or the data attached to it.

You can also skip a whole identity stack at this size. SCIMSystem for Cross-domain Identity Management. A standard for automatically creating and removing user accounts when people join or leave. Press Enter for the full definition. provisioning needs Enterprise with SSOSingle Sign-On. One company login (usually via SAML or OIDC) instead of a separate password per tool. Press Enter for the full definition. enabled, and for ten named people, a membership list managed by hand is fine. The trap is treating the full identity build as a precondition. It starts to matter at a hundred developers, and at ten it mostly delays the start of the pilot.

Pick three that differ in shape, not in difficulty. Cursor documents where Plan Mode earns its time: complex features with several valid approaches, work that touches many files, unclear requirements and architectural decisions. For quick changes you have done many times, it says going straight to Agent modeCursor's full-capability mode: the AI can read the codebase, write and edit files, move them and run terminal commands. Contrast with Ask mode, which is read-only. Press Enter for the full definition. is fine. A pilot whose three tasks are all small and familiar therefore tests only the path that needed the least evaluation.

The repo is the other constraint, and it is where a two-week pilot can lose its result. On code with no tests, you can still watch the agent work, but you can't confirm whether a change was correct. Every conversation about quality then turns into a conversation about impressions.

Make one of the three a task somebody on the team already knows how to do by hand. That gives you the only comparison a group this small can make: the same work done two ways, and one person who can say where the agent's version was better and where it was only faster.

They can show whether the workflow produced diffs a reviewer was willing to read, which task types suited it, and which parts of the shared prompt and review checklist the team kept using when nobody was watching. They can't give you a defect rate. Ten people over two weeks is too small a sample to separate a real change in quality from a normal fortnight.

Say so up front, because the temptation is to borrow an outside number instead. A University of Chicago study of tens of thousands of Cursor users found that companies merged 39% more pull requests after Agent became the default. Cite it as context if you like. It is not a target for your ten people, and measuring them against it is how a decent pilot gets written up as a disappointment.

For the numbers you can pull, the team's analytics dashboard filters by user and date, across up to 90 days, and exports CSV. It reports AI share of committed code alongside Agent and Tab activity. Read those numbers as a description of behavior, not a scoreboard. Active-user counts hide depth: someone who opens the agent once a week counts the same as someone who rebuilt their working day around it.