AI is changing how software gets built — but your team needs the right foundation to benefit. Standardized AI workflows, infrastructure that keeps pace with AI-speed development, and observability to measure the impact. We help you get there.
Every engagement is custom, but most Rails teams need help in one of these areas.
Creating a consistent way for the whole team to use AI-assisted development, rather than everyone doing something different.
Docker and devcontainer setup where AI agents can safely run code, execute tests, and access the browser. Full autonomy without risk to the local machine.
A straightforward CLI for developers to kick off longer-running AI tasks and keep moving, without changing their existing workflow.
AI writes code fast, but slow pipelines erase the benefit. Speeding up builds, stabilizing test suites, and smoothing out deploys.
Pipeline and application health monitoring so decisions are based on data, not gut feel.
Instrumenting deployment frequency, lead time, change failure rate, and MTTR. Establishing baselines so the team can see AI's true effect on shipping speed and stability — and demonstrate that story with data.
Building an internal DevEx team takes months. We deliver measurable results in weeks.
Delivering in weeks, not the months it takes to hire, onboard, and ramp a specialized engineer. Your team gets value while the backlog is still fresh.
Deep specialization in Rails developer experience — AI tooling, CI/CD, observability, and DORA metrics. This is all we do, every day, across multiple Rails codebases.
Everything we build lives in your codebase and your team maintains it. No vendor lock-in, no proprietary platform — just tooling your team owns.
Start with a focused 2-week assessment — no long-term commitment required. Everything we deliver is work your team owns from day one.
We identify the highest-leverage bottlenecks across your CI pipeline, test suite, deploy process, code review, and AI-assisted coding setup — then deliver a prioritized roadmap your team keeps regardless of next steps.
We instrument your pipeline with DORA metrics to establish baselines — so every improvement we make has a clear before-and-after.
We build the automations and integrations directly into your Rails stack. No rip-and-replace — your team is empowered to own, maintain, and extend everything we deliver.
We review the metrics together, tune what's working, and adjust what's not.
Every engagement produces concrete, actionable deliverables your team owns.
Documented Claude Code workflows, CLAUDE.md configurations, and team-wide standards your engineers use from day one.
Docker and devcontainer configs so AI agents run safely — committed to your repo, ready to use.
A working async agent workflow your developers can use to kick off AI tasks and keep moving.
Faster builds, reliable test suites, and smoother deploys — shipped directly into your codebase.
Pipeline and application health monitoring wired into your existing stack.
Live visibility into deployment frequency, lead time, change failure rate, and MTTR — with clear before-and-after for every improvement.
Let's talk about where AI and automation can measurably improve your Rails development workflow.
No commitment required. 30 minutes to see if we're a fit.
Book a Free Discovery Call