Select Interactive
Service · Agentic AdoptionNOW ENROLLINGQ3 2026DFW · EST. 2012

Agentic AI Adoption

Get your team onto Cursor, Claude Code, and Linear with Cloud Agents, the same multi-agent workflows we run in production every day. We bring the configurations, the patterns, and a working setup on day one.

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AGENT STATUS#a7f29c
● runningcursor·claude code·linear
~/select-interactive · agent-loop● LIVE
$ claude code → branch "feature/checkout"
✓ patch applied · 14 files · 412 lines
✓ PR opened · awaiting human review
capacity 3×
to-merge 4×
setup day 1
output real PRs
Capacity gain
3×↑ per engineer
Ticket-to-merge
4×faster

What Gets Installed

A working agentic stack from session one

scored before kickoff

Cursor

Editor + agent integrations

Claude Code

Terminal-native agent loops

Linear

Tickets, sprints, Cloud Agents

GitHub

PR reviews and CI hooks

Capabilities

What we set up for your team

  1. 0106module

    Multi-Agent Workflows

    Parallel agent sessions for implementation, testing, and review. We configure the orchestration patterns that let one engineer drive several agents at once without losing track of what each is doing.

  2. 0206module

    Cursor Configuration

    Project-level rules, indexing, prompts, and shortcuts dialed in for your codebase. We share the .cursorrules patterns we have refined over a year of real production use.

  3. 0306module

    Claude Code Setup

    Terminal-native agent loops integrated with your shell, your IDE, and your repository. Includes hooks, settings, and the agent definitions we use in our own daily work.

  4. 0406module

    Linear + Cloud Agents

    Tickets that turn directly into pull requests. We set up the Linear-to-agent pipeline so a properly scoped ticket becomes a draft PR ready for human review.

  5. 0506module

    AI-Assisted Code Review

    Review checklists, automated review passes, and the human-in-the-loop patterns that catch what raw AI output misses. No AI-written code merges without a senior engineer signing off.

  6. 0606module

    Custom Agent Loops

    For specialized tasks (data migrations, large refactors, test generation), we design and tune custom agent workflows that fit the work your team actually does.

How It Works

The agentic loop, end to end

A Linear ticket gets assigned to an agent. The agent drafts the implementation, runs the tests, and opens a pull request. A human reviews it, requests changes (which the agent applies), and merges. The same loop runs for tests, for migrations, and for refactors: different agents, same pattern.

Tools We Configure

Your agentic stack

  • Biome / Ultracite
  • Claude Code
  • Cloud Agents
  • Cursor
  • GitHub
  • Linear
  • TypeScript
  • Vitest

How We Work

From assessment to autonomous loops

A typical adoption engagement runs two to four weeks. We start by understanding your current workflow, then layer in agentic patterns one at a time so the team can absorb each change before the next one lands.

We review your current development workflow: how tickets become code, where reviews happen, what slows you down. We identify the highest-leverage points where agents can help first.

We install Cursor, Claude Code, and Linear, configure them for your codebase, and import the rule sets and patterns from our own production setup.

We pick a real ticket and walk through the full loop: ticket → agent → PR → human review → merge. The team watches it work end to end before driving it themselves.

Each engineer drives an agent loop on their own work, with us watching and offering live guidance. We answer the practical questions that only come up once you are in the seat.

For tasks specific to your codebase (data migrations, framework upgrades, large-scale refactors), we design custom multi-agent workflows that match the work.

You walk away with a documented setup, a runbook for adding new patterns, and a configured stack the team owns and operates without us.

Related Services

Continue the practice

Agentic adoption pairs naturally with our other consultation services. Most teams combine adoption with training and a leadership briefing.

05 PATHS FORWARD

AI Readiness Assessment

Assessment

Evaluate where your team stands today and which agentic AI changes will produce the fastest return.

Modern Web Stack Consulting

Consulting

Migration and adoption guidance for TanStack, Shadcn/ui, Vite, TypeScript, and the modern framework ecosystem.

Engineering Team AI Training

Training

Hands-on training, live code reviews, and pair-programming sessions tailored to your codebase.

Case Studies & Implementation Plans

Reference

Documented examples with real metrics and a prioritised roadmap written for your team.

AI Leadership Briefings

Executive

Jargon-free executive sessions on agentic AI ROI, strategic timing, and the compounding advantage for engineering orgs.

In Practice

Agentic adoption in our own work

All Work
Agentic AI Adoption

Select Interactive: Internal

We rebuilt our own development workflow around the same agentic patterns we now consult on. Every feature on this site, every test, every refactor moves through the loop we install for clients.

3×

Delivery capacity

  • Parallel agent sessions across implementation, testing, and review
  • Roughly half the median time from ticket to merge on scoped feature work
  • AI-assisted planning that surfaces edge cases earlier
  • Automated test scaffolding on every feature with human sign-off
  • Architecture review passes built into the standard workflow

Client Voices

Trusted by teams that ship.

Marketing & Design

We’ve partnered with Select Interactive for years, and they’ve consistently proven to be a forward-thinking, technology-driven partner. Their team is always building and refining solutions that elevate performance, from website development to strengthening SEO infrastructure. Just as importantly, they continuously bring new ideas to the table that help us improve our services and deliver stronger results for our clients. They truly are building a better web.

Alex Klinedinst

President + Owner, Bluebird Creative Co.

FAQ

Common questions

Cursor is our recommended primary editor because of its agent integrations, but the patterns translate to other IDEs. Claude Code runs in any terminal and works alongside whatever editor your team prefers.

We work with what you have. The agentic loop layers on top of your existing GitHub Actions, GitLab CI, or whatever pipeline you run today. We add hooks where they help and leave the rest alone.

The same way any sound engineering team handles junior contributions: a senior engineer reviews every PR before it merges, and AI-assisted review tools provide a first pass. AI generates drafts; humans make the call.

Most engineers are productive on day one, and the patterns feel native within two to three weeks of daily use. The compounding gains (running multiple agents in parallel, designing custom loops) typically take six to eight weeks to settle in.

The agentic patterns are tool-independent. The specific tools may shift over time, but the workflow design (ticket-to-PR loops, parallel agent sessions, human-in-the-loop review) stays valid as the ecosystem evolves. Our retainer clients get continuous guidance as the landscape changes.

Go Deeper

From Ticket to Deployed: Our Agentic AI Development Workflow

A full technical write-up of the agentic workflow: the four tools, the pipeline, the quality safeguards, and the honest tradeoffs. This is the long-form version of the practice on this page.

Read the Article

Let's Talk

Ready to install the loop?

Whether you want a one-day workshop or a full multi-week adoption rollout, we start with a conversation about how your team works today.

Start a Conversation
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