Hands-on training tailored to your codebase and your team. Live demos, paired sessions on real PRs, and code reviews that meet your engineers where they are. We do not do hypothetical workshops on toy problems.
How We Train
Every demo runs here
Live review, written feedback
Patterns adapted to your tools
Workshop, multi-week, or ongoing
Capabilities
We show every workflow in real time on a real codebase. No slides about how AI works in theory. Just engineers demonstrating actual patterns and answering questions as they come up.
Your team drives the agents on their own work while we coach. Mistakes happen. We stop, debug them together, and the team learns the patterns by doing them, not watching.
We review real pull requests from your active sprints. Written, detailed feedback on AI-assisted output, security, performance, and architecture, held to the same standards we apply to our own code.
Live screen-share pairing on the gnarly tickets (big refactors, unfamiliar libraries, or tricky agent loops). One-on-one sessions or small group formats.
For teams new to TypeScript, React, or modern testing, we build a phased curriculum that brings the team current without dropping production work. The training and the work happen in the same codebase.
Some senior engineers are skeptical of AI tools, and rightly so. We do not try to convert anyone. We run live demos and let results, not rhetoric, do the talking.
The Engagement Arc
A typical training engagement runs four to twelve weeks, depending on team size and depth. We start with a kickoff and live demos to set context, then move into hands-on training, ongoing code reviews, and pairing as needed. Monthly check-ins keep the patterns sticky after we step away.
Training Engagement Arc
Training Formats
Each format is built around real PRs from your team. The difference is how much time we spend together and how deep the rollout goes.
A focused intro for teams that want to see agentic AI in action before committing to a longer program.
Structured training rolled out across multiple sessions so the team can absorb each pattern before the next one lands.
Continuous training partnership with monthly check-ins, code reviews, and new-tool evaluations as the AI ecosystem evolves.
Tools We Train On
How We Work
Every engagement starts with understanding the team you have today and the codebase you are working in. We never run a training session on a toy problem.
We meet your team, learn the codebase, and identify what each engineer wants to get better at. We tailor the training to the gap, not a generic curriculum.
A single live session where we demonstrate the full agentic workflow on your repository. The team watches, asks questions, and sees the patterns end to end.
Your engineers drive the agents on their own work. We coach in real time, stop on real mistakes, and build the team's comfort with the patterns through practice.
We review real pull requests from your sprints, written feedback delivered in your repository. Each review is a continuation of the training, on the team's actual work.
On-demand live screen-share pairing for the harder tickets. Senior engineers from our team work directly with yours on real challenges.
Monthly sessions to address new tools, revisit progress, and keep the team current as the agentic AI ecosystem evolves. Optional after the initial engagement.
Related Services
Most teams combine training with adoption (so the tools are configured before training starts) and an executive briefing (so leadership stays aligned).
Evaluate where your team stands today and which agentic AI changes will produce the fastest return.
Move your team onto Cursor, Claude Code, and Linear Cloud Agents with multi-agent workflows used in production.
Migration and adoption guidance for TanStack, Shadcn/ui, Vite, TypeScript, and the modern framework ecosystem.
Documented examples with real metrics and a prioritised roadmap written for your team.
Jargon-free executive sessions on agentic AI ROI, strategic timing, and the compounding advantage for engineering orgs.
In Practice
An ongoing partnership with a Fort Worth marketing agency. We review their site's development monthly, share patterns, and continuously bring new ideas as the modern web ecosystem evolves.
View case studyMonthly
Code review cadence
Client Voices
Select-Interactive is our developer of choice when we have sites that require more than what the online or pre-built platforms can do. Their technical knowledge always surprises, and always results in functional sites that look and work the way they are intended.
Andrew Yanez
Lead Design, PytchBlack
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.
Select-Interactive is our developer of choice when we have sites that require more than what the online or pre-built platforms can do. Their technical knowledge always surprises, and always results in functional sites that look and work the way they are intended.
Andrew Yanez
Lead Design, PytchBlack
FAQ
Both. Most engagements are fully remote (we are based in Fort Worth and have run trainings for teams across the U.S.). Onsite is available for local clients and for major kickoffs.
Workshops scale to about 15 engineers in a single session. Beyond that, we recommend splitting into smaller groups so every engineer gets hands-on time. We have run trainings for teams as small as 3 and as large as 50 (in cohorts).
Mixed-experience teams are the norm and they actually train better together. Senior engineers ask the architectural questions; juniors absorb the patterns faster. Both groups benefit from seeing how the other reasons through agentic workflows.
Live sessions are live (no replays of canned content). For onboarding new team members later, we provide custom-recorded walkthroughs of your specific setup as part of the final handoff.
Most teams see measurable PR throughput gains within the first sprint after training. The compounding gains from running multiple agents in parallel, designing custom loops, and tightening review cycles typically take six to twelve weeks to settle in.
Go Deeper
Our process page documents the full development workflow we train on, with phase-by-phase deliverables and the role AI plays at each step.
Let's Talk
Whether you want a single workshop or an ongoing partnership, we start with a conversation about how your team works today.
Book a Workshop