Cursor and Claude on every developer's machine
Installed and configured the same way for everyone, with the Salesforce extensions, your project settings and our starter skills in place from day one.
For Salesforce delivery, dev and build teams
Ship more Salesforce work every sprint.
We set up Cursor, Claude, the Salesforce CLI, Jira and your DevOps pipeline as one connected system, tuned to your team's standards. Your developers spend less time on boilerplate, rework and review loops, and more time delivering stories.
- Live in about 4 weeks
- Fixed scope and price
- Fits your current pipeline
Set up around the tools your delivery team already uses
Salesforce CLI- Cursor
Claude
Jira- Copado
- Gearset
GitHub
GitLab- Azure DevOps
Bitbucket
Delivery throughput
Where your sprint capacity leaks, and how we plug it
Building the feature is rarely what slows a Salesforce team down. It's the work around it: chasing requirements, writing the same patterns again, scrambling for test coverage, review ping-pong and failed validations. The setup takes the friction out of every stage of a story.
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01
Refine
Fewer stalled storiesVague stories. Developers stop mid-build to chase answers.
Stories refined from Jira with clear acceptance criteria before the sprint starts.
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02
Build
Less boilerplateTriggers, handlers, components and Flows written from scratch every time.
Work starts from your own patterns, with the AI aware of your org through the Salesforce CLI.
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03
Test
No coverage scrambleTest classes rushed at the end of the sprint to hit coverage.
Tests written alongside each story, including bulk, negative and permission cases.
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04
Review
Fewer review roundsPull requests bounce back two or three times for the same avoidable issues.
An automatic first review catches them, so human reviews focus on design.
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05
Deploy
Fewer failed validationsValidations fail late on limits, missing tests or hard-coded IDs.
Common causes of failed deployments are caught before the change leaves the sandbox.
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06
Release
Faster hand-offRelease notes, checklists and Jira updates done by hand after hours.
Drafted from the finished work, with Jira updated automatically.
Shorter cycle timeStories move from "in progress" to "done" with fewer stops along the way.
Less reworkWork matches your standards first time, so less of it comes back.
More predictable sprintsClearer stories and fewer late surprises make commitments easier to keep.
Faster onboardingNew developers deliver to your standards sooner, because the standards are built in.
Throughput calculator
See what it means for your sprints and your budget
We've started with conservative numbers. Adjust them to match your team and you'll see the effect on stories delivered per sprint and on cost.
What's included
One setup. Every part of your delivery toolchain connected.
A single, fixed-scope engagement. Here's what your delivery team ends up with.
Salesforce CLI and sandbox access
The AI reads how your org is built and works safely in sandboxes, so it stops suggesting things that don't fit.
Jira, connected both ways
Stories come in with the context the AI needs. Summaries, links and status updates go back automatically.
An automatic review in your pipeline
Every change gets a first review against your standards inside Copado, Gearset, DevOps Center, GitHub, GitLab, Azure DevOps or Bitbucket. Your approvals stay as they are.
Your standards, built in
Naming, coding rules, security policies and your definition of done, written into the tools.
Security sign-off
Sandboxes only, no live customer data, no secrets in prompts. Documented for your security team.
Training and handover
Hands-on sessions on your own backlog, a playbook and a trained internal owner.
Want to know exactly what your setup would include?
Scope your setup on a callHow it works
Four weeks to a faster team that runs it themselves
- 1
Week 1
Understand
We map how your team delivers today: your standards, Jira workflow, pipeline and where sprint time goes.
- 2
Weeks 2–3
Set up and connect
We install and configure the tools, connect your org, Jira and pipeline, and tailor our starter skills to your standards.
- 3
Week 4
Pilot and train
Your developers use it on real stories in a live sprint while we coach and fine-tune.
- ✓
From then on
You run it
Your internal owner takes over with the playbook. No retainer and no lock-in.
Scope and price are fixed and agreed in writing before we start.
Fits your pipeline
No new process. Just a faster version of the one you have.
Stories still start in Jira and still go through your DevOps tool and your approvals. The setup removes the slow, repetitive parts in between.
- JiraStory picked up
- Cursor or ClaudeRefine, build and test
- Salesforce CLIChanges to a sandbox
- Automatic reviewChecked against your standards
- Your DevOps toolYour approvals and releases
- JiraUpdated automatically
Steps the setup adds or speeds up
How many more stories could your team ship?
In 30 minutes, we'll look at how your team delivers today and show you where the extra capacity would come from.
Included with every setup
A head start: our library of tested skills
A skill is a short set of instructions that teaches the AI to do one delivery task well, the way an experienced Salesforce developer would. Ours come from real projects, so your team doesn't start from a blank page. We adapt each one to your standards during the setup, and your team can keep improving them in your own repository.
Refine
Story refiner · Impact checker
Design
Solution designer · Data model advisor
Build
Apex · Lightning components · Flows
Test
Test writer · Test data builder
Review
Standards · Security · Limits
Release
Release notes · Deployment checklist
Test writer
Adapted to your standards
- Coverage target75%90%, per company policy
- Test dataCreate records inlineUse the shared TestDataFactory
- NamingAccountServiceTestAccountService_Test
- Always includeBulk, negative and permission tests
- When finishedLink the tests to the Jira story
2-minute check
How ready is your delivery team?
Seven quick questions. You'll get a readiness level and where we'd start to lift your throughput.
From the blog
Practical advice for Salesforce delivery teams
What a proper AI delivery setup for Salesforce actually includes
Installing an AI tool takes minutes. Making it useful for a whole Salesforce team takes a bit more. Here's what that involves.
FAQ
Questions delivery leads ask us
How does the setup increase our delivery throughput?
By removing the slow, repetitive work around each story: clarifying requirements, writing boilerplate, writing tests, going back and forth in review and preparing releases. The time your developers get back goes into delivering more stories, without adding people or changing your process.
How much does the setup cost?
It's a fixed price, based on your team size and the tools you use. We'll give you a written quote after a 30-minute call, before you commit to anything.
Can't we just install Cursor or Claude ourselves?
You can, and many teams start that way. Out of the box, though, these tools don't know your org, your standards or Salesforce's limits, and they aren't connected to Jira or your pipeline. The setup is what turns them into a reliable part of how your team delivers.
Will this change our DevOps process?
No. We plug into the tool you already use, whether that's Copado, Gearset, DevOps Center, GitHub, GitLab, Azure DevOps or Bitbucket. Your branches, approvals and release calendar stay the same.
Do we have to use both Cursor and Claude?
No. We set up whichever your company has approved, or both. The same standards and skills work in each, so developers can use the tool they prefer and still get consistent results.
What about security and our data?
The AI tools work with sandboxes and your code, not live customer data. We document exactly what each tool can see, so your security team can review and approve it before anyone starts.
How realistic are the throughput figures?
We've used deliberately conservative starting numbers, and you can change every one of them. On our first call, we'll look at your team's actual sprints and give you an estimate based on those.
Do we need you after the setup?
No. Everything lives in your repository and your accounts, with a playbook and a trained internal owner. You can book a check-in later if you'd like one, but you won't need it.
Have a question that isn't here?
Ask us on a callGet started
Book a 30-minute call
Tell us a little about your team. We'll come prepared with questions and leave you with a clear view of what the setup involves and how much extra throughput it could unlock.
- No obligation and no sales pressure
- A fixed quote within two working days
- You keep everything we build
Prefer email? Write to [email protected].