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Code Quality
AI Coding Assistant Rollout
Get your developers using one AI coding assistant the same safe way, with rules, a written playbook and a usage baseline.
Many teams pay for AI coding seats and then see each developer use them differently. Some get real value, some barely open the tool, and secrets can slip into prompts. AI Coding Assistant Rollout sets one tool up properly. We write repository rules, lock down settings, connect your tracker or docs, train the team on your own code and measure where you start.
- Instruction files that teach the assistant your conventions and no-go areas
- Safe settings for secrets and commands, plus a one-page policy
- A written team playbook for your codebase and a usage baseline
$5,175
15–25 working days
What it is
AI Coding Assistant Rollout is a setup service for one AI coding assistant, such as Cursor or GitHub Copilot. We write instruction files for up to 3 repositories, configure safe settings, connect up to 2 tools, write a team playbook for your codebase and record a usage baseline.
Why businesses buy it
An AI coding assistant is only as useful as its setup. Without repository rules it ignores your conventions. Without safe settings it can read secrets or run commands you would never allow. Without shared guidance, use stays uneven across the team. This rollout fixes all three for one tool and up to three repositories. Settings and instruction files are tested on real tasks in each repository before handover. Your team learns on its own code, not a demo project. You also get a baseline, so later you can judge whether the seats are paying off.
Problems this solves
Each developer uses the coding assistant in a different way
Instruction files for up to three repositories set shared conventions, commands and no-go areas. A written team playbook for your own codebase gives the whole team the same working habits.
Secrets or sensitive data could end up in prompts
We configure safe settings for secrets, allowed commands and data retention, then write a one-page team policy. Your engineering lead approves both before handover.
The assistant knows nothing about your tracker or docs
Up to two read-only tool connections link the assistant to your tracker, docs or a database. Developers can pull that context into their work without copying it by hand.
Leaders cannot tell whether the paid seats are worth it
A usage and cycle-time baseline report records where the team starts. The written check-in after 30 days compares against it, so you judge progress with real numbers.
A good fit if
Your team has 5 to 15 developers and already pays for AI coding seats.
Use of the tool is uneven, and nobody has written down how it should work in your code.
You worry about secrets, credentials or customer data reaching the assistant.
Your code lives in up to three repositories on GitHub or GitLab, with work tracked in Jira, Linear or similar.
Not the right fit if
You want an agent that reviews every pull request automatically. See AI Code Review Agent.
You want your internal systems exposed to AI assistants through one shared connector. See MCP Server Build.
You need to know whether an existing AI-built app is safe to launch. See AI-Built App Audit.
Your wider staff need a shared AI workspace and usage guide rather than a developer setup. See Team AI Assistant Rollout.
How it works
- You confirm the coding assistant, add our team to up to three repositories and name an engineering lead who approves settings.
- We study each repository's conventions, commands and sensitive areas, then write instruction files the assistant reads.
- Safe settings are configured for secrets, allowed commands and data retention, and a one-page team policy is drafted.
- Up to two read-only tool connections are set up, such as your tracker or docs, and everything is tested on real tasks.
- We write a team playbook for your own codebase, share a library of 10 prompt and workflow patterns, and record a usage baseline.
- After 30 days we send a written check-in and update the files and settings based on what the team learned.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Seats for your chosen coding assistant, bought on your own account.
- Admin access to up to three repositories, by invite or a key you control.
- Access to your tracker or docs for the tool connections, by invite or a key you control.
- A named engineering lead who approves the settings and team policy.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Order placed. Seats, repository access and your engineering lead's details are due within 72 hours.
Week 1
Repositories studied and instruction files drafted for each one.
Weeks 1–2
Safe settings, the team policy and up to two tool connections set up.
Weeks 2–3
Settings and instruction files tested on real tasks, and the usage baseline recorded.
Week 3
Team playbook written, the pattern library shared and the baseline report delivered.
Check-in
A written check-in and file updates after 30 days, with support throughout that period.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 15–25 working days | $5,175 |
What you receive at handover
- Instruction files for up to three repositories
- Safe-settings configuration and a one-page team policy
- Up to two read-only tool connections, such as your tracker or docs
- A written team playbook and a library of 10 prompt and workflow patterns
- A usage and cycle-time baseline report
- A written check-in and update after 30 days, with 30 days of support
Expected benefits and how to measure them
- Helps more of your developers get real use from their seats
- Can reduce the risk of secrets reaching the assistant
- Gives new hires a written, shared way of working
- Active seat use
- Compare active users in the tool's admin dashboard at the baseline and at the check-in.
- Cycle time
- Compare median ticket cycle time in your tracker for the month before the rollout and the month after.
- Developer confidence
- Run the same short team survey before the playbook arrives and at the check-in, then compare the scores.
Before you start: Export current seat activity from the tool's admin page and median cycle time from your tracker. Note which developers use the tool each week.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
Our fee is one-time. Your coding assistant seats are an ongoing cost, billed by the tool vendor to your own account. Our work adds no other running costs.
Ask about running costsCustom requirements
Add a note at checkout if you need something specific. If it fits within the Scope Card it is simply included. If it goes beyond it, you get a written Change Quote within two working days, and that work starts only once you accept it, with its time added to your delivery date.
Request a custom versionKeep it running
There is no maintenance plan for this service. You get 30 days of support and a written check-in, and after that your engineering lead owns the files and settings. When conventions change, update the instruction files as you would any other documentation. A second tool, extra repositories or extra review rounds are quoted through a Change Quote.
How this compares
| Do it yourself | Hire a traditional agency | Upmark Labs | |
|---|---|---|---|
| Cost | Seats, plus many hours of trial and error | A consultancy day rate quoted after scoping | One fixed price for a written scope |
| Repository rules | Each developer writes their own, or none | Often generic templates | Instruction files written for up to three of your repositories |
| Safety | Default settings, which may allow too much | Depends on the consultant | Settings for secrets, commands and data retention, with a team policy |
| Training | Videos and trial and error | Slides and demo projects | A written team playbook for your own codebase |
| Proof of value | Gut feel | Rarely measured | A usage and cycle-time baseline, revisited at the check-in |
Questions about this product
Which AI coding assistants does the rollout support?
One tool of your choice, such as Cursor or GitHub Copilot, or a similar assistant. We set it up to suit your repositories and the plan you pay for. A second tool is outside the scope and is quoted through a Change Quote. If you have not chosen a tool yet, ask us and we compare the options by email first.
Will the coding assistant see our secrets or customer data?
We set it up to avoid them. Secret handling, allowed commands and data retention are configured to your rules and written into a one-page team policy. What the vendor keeps also depends on your plan and its terms. Your engineering lead reviews those settings with us and approves them before handover.
What are repository instruction files for an AI coding assistant?
They are files the assistant reads before it works in a repository. Ours describe your conventions, build and test commands, and the areas it must not touch. That means fewer suggestions that ignore how your team writes code. We write them for up to three repositories and test them on real tasks before handover.
How do you measure whether the coding assistant rollout worked?
With a usage and cycle-time baseline. At the start we record how the team uses the tool and how long typical work takes, using data your tools already hold. At the check-in after 30 days we compare the two. The numbers show change over time, and they are not a promise of faster delivery.
Does the team playbook use our own code rather than examples?
Yes, that is the point. The playbook is written around your repositories and real tasks from your backlog. Developers practise the prompt and workflow patterns from the library on work they recognize. Because it is written down, new hires can read it later and pick up the same habits.
Do you buy the coding assistant seats for us?
No. You buy the seats on your own account, and the tool vendor bills you directly. That keeps ownership and data settings under your control. We need the seats in place before work starts, because the settings and instruction files are tested on real tasks inside the tool.
What support comes after the AI coding assistant rollout?
30 days of support, ending with a written check-in. During that time your engineering lead can raise questions, and we adjust files or settings where needed. In the check-in we review the baseline and update the instruction files. After that, your team owns everything we set up.
Make your AI coding seats count
Order the AI Coding Assistant Rollout to set up one tool safely across your repositories and train your developers on their own code.
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