Enterprise

Training

Training that sticks because it uses your actual code, not toy examples.

Generic training doesn't change how people work. We tailor everything to your stack, your codebase, and the specific habits you want to build. What engineers learn on Monday, they apply on Tuesday.

We mostly work with JVM and Spring Boot teams - modernization, testing, and the delivery tooling that takes the stress out of releases. We also run clean code and test craftsmanship sessions for teams who want to raise the bar without grinding everything to a halt.

Where teams keep getting stuck

If you're nodding at two or more of these, training probably isn't the only fix. But it's where we'd start.

Code reviews take days because everyone's calibrating from scratch

There's no shared idea of 'good'. Every PR is a debate about taste, and the loudest reviewer usually wins.

Tests are flaky and people retry until they pass

The signal is broken. CI green doesn't mean the build is good, it means we got lucky this run.

One engineer can debug production, everyone else escalates

When that person is out, incidents take twice as long. Their knowledge isn't in the system, it's in their head.

New hires ramp by reading code, not following a path

There's no curriculum, no playbook, no 'here's how we do things'. They learn by accident over six months.

Standards live in a wiki nobody opens after week two

Someone wrote them. Nobody references them. They're out of date, and everyone knows it, and nothing changes.

The same anti-pattern keeps showing up in different services

Cargo-culted code. Copy-pasted mistakes. Same bug, different shape, three places. Nobody's stopped to name it.

Popular workshops

Backend

JVM and Spring Boot in production

Service design for Spring teams. Configuration, dependency boundaries, resilience patterns, and what it takes to be operationally ready on day one.

Testing

Developer-owned testing

Unit, integration, and contract testing with boundaries that hold up. Testcontainers patterns, fast feedback, and tests engineers actually maintain.

Quality

Clean code and maintainable design

Readable code, refactoring, and API design. The kind of code your team can ship through in six months without dreading it.

Modernization

Modernization playbooks

Framework and runtime upgrades. OpenRewrite recipes, characterization testing, and phased rollouts your team can run on their own legacy apps.

Delivery

DevOps and delivery fundamentals

CI/CD design, trunk-based development, deployment strategies, and rollback-first operations. The ops piece engineers actually need to know.

Operations

Observability in practice

Tracing, metrics, logs, and alert design - using your real services. Less time staring at dashboards, more time fixing what they tell you.

Formats

1-2 days

Workshops

Focused topics with hands-on labs and a playbook your team can apply the same week.

4-8 weeks

Cohort training

Weekly sessions, applied homework, code reviews, and a capstone tied to your actual systems.

Ongoing

Team coaching

Pairing, design reviews, and 'raise the bar' code review practices embedded with the team.

How we approach it

The goal isn't knowledge transfer, it's durable behavior change. We'd rather cover three things deeply and have them stick than cover fifteen and have none of them survive the next sprint.

  1. Discover

    Find out what's actually slowing the team down. We review representative code and workflows, then pick the smallest set of practices that will change day-to-day work.

    Don't move on until we've picked the smallest set of changes that matter.

  2. Teach

    Deliver the core concepts with hands-on labs. Sessions are grounded in real patterns from your stack, not toy examples that don't survive contact with reality.

    Don't move on until the team can do the practice once, supervised.

  3. Apply

    Bring the practices to your codebase. Exercises map to your services. We leave behind templates, examples, and checklists the team will actually open again.

    Don't move on until they've applied it to your real code, not the lab.

  4. Reinforce

    Follow-up reviews and coaching. Code review calibration, test strategy check-ins, small refactoring playbooks. The work outlasts the engagement.

    We're done when the practice is showing up in code reviews on its own.

What you'll have at the end

Workshop materials and lab repo

Exercises, solutions, and runnable examples aligned to your stack. Not slideware - things engineers can clone and run.

Playbooks and checklists

Modernization steps, testing boundaries, code review guidelines, release hygiene. Reference material engineers will actually use mid-task.

Reference implementations

Example PRs or modules that show the agreed patterns in your codebase. A 'here's what good looks like' for the team to point at.

Templates

Service skeletons, test harness patterns, CI snippets, and observability defaults. New work starts from the good version, not from scratch.

Prioritized next-step recommendations

A short, honest list of what to work on next, in what order, with what payoff. Not a generic roadmap.

Outcomes you can point to

Cleaner codebases

More consistent style, better boundaries, lower review friction. PRs stop being 30-comment debates about taste.

Stronger test suites

Faster feedback, less flake, and a coverage strategy the team can defend. CI green starts meaning something again.

Releases that don't ruin Friday

Safer deploys, fewer regressions, and a team that knows what to do when one slips through.

Building blocks the team reuses

Templates and playbooks accelerate the next service, the next refactor, the next on-call rotation.

Get started

Start with a free consult

Tell us what's slowing your team down. Long review cycles, flaky tests, fear of touching certain parts of the codebase. We'll put together something focused on that, not a generic curriculum.