The work in plain language
Inspect the change, prove the behaviour.
Paloren trains development teams to use Claude Code for bounded, reviewed changes inside the workflow they already trust. AI-generated code is only useful when your engineers can understand, test and maintain it. We train development teams to use Claude Code on bounded issues, prepare the right project context and review changes without losing control of the repository. Hands-on practice covers planning, permissions, implementation, tests and diagnosis when a suggestion fails. Your team leaves with a working method to trial against real delivery and review effort, not a target for generating more code. Participants need Git, terminal and project-language experience; exercises use a safe project without production credentials.
What this can change for your team
- Less review time lost to sprawling, unexplained changes
- A more consistent path from issue to tested implementation
- Engineers who know when to accept, revise or reject AI output
01 / 04Claude Code training
Start with a bounded issue in a safe repository.
The training task is small enough to inspect completely. Learners receive a repository, an issue description and acceptance tests, then explore existing behaviour before asking for a change. The people teaching this ship with Claude Code daily, including this website. Training is priced as a workshop: half-day from USD 4,500, full-day from USD 7,500, 6 to 16 people.
How we make this work
The training task is small enough to inspect completely. Learners receive a repository, an issue description and acceptance tests, then explore existing behaviour before asking for a change. They identify relevant files and write a concise implementation brief. The exercise separates reading a repository from authorising edits or commands, and participants challenge unnecessary changes. A successful task is not code that runs once; it is a change whose scope, behaviour and remaining risks the reviewing developer can explain and own. The people teaching this ship with Claude Code daily, including this website. Training is priced as a workshop: half-day from USD 4,500, full-day from USD 7,500, 6 to 16 people.
- Training repository with a reproducible issue
- File scope and acceptance criteria before edits
- Human review of proposed and completed changes
02 / 04Claude Code training
Treat permissions as design choices.
Developer training includes deciding what the coding tool may read, change or execute. Learners examine the difference between local inspection, a test command, a package change and an external action. The session uses a non-production environment with no live customer records or deployment credentials. Repository instructions express conventions but are not a complete security boundary.
How we make this work
Developer training includes deciding what the coding tool may read, change or execute. Learners examine the difference between local inspection, a test command, a package change and an external action. The session uses a non-production environment with no live customer records or deployment credentials. If external tool connections or Model Context Protocol concepts are in scope, exercises use a mock service with narrow permissions. Repository instructions express conventions but are not a complete security boundary. The team practises stopping when authority is unclear and collecting evidence for review; broad execution access is not a prerequisite.
- Command and permission classification exercise
- Mock integration with no production authority
- Escalation notes for actions outside the task
03 / 04Claude Code training
Include failure and recovery in the agenda.
Learners need familiarity with a terminal, Git and the training project language. The agenda covers repository orientation, a bounded change, test execution, diff review and a deliberately failing case. Participants practise explaining a failure before fixing it. The final assessment uses a new issue rather than repeating the demonstration.
How we make this work
Learners need familiarity with a terminal, Git and the training project's language. Before the session, they confirm approved access, installation requirements and the ability to run the example tests. The agenda covers repository orientation, a bounded change, test execution, diff review and a deliberately failing case. Participants practise explaining a failure before fixing it and preserving unrelated work. The final assessment uses a new issue rather than repeating the demonstration. Longer sessions can add refactoring or a mock integration, but the core always includes evidence review and a safe recovery path.
- Preflight for repository, tool access and tests
- Guided change with a failing test to diagnose
- Independent issue with diff and test evidence
04 / 04Claude Code training
Measure reviewed engineering work, not generated code.
The follow-up looks at accepted changes and the work required to review them. Counting generated lines is not an engineering result. A bounded trial can compare issue completion, review comments, rework and defects. Learners prepare a team checklist covering context, scope, tests and decisions needing approval.
How we make this work
The follow-up for Claude Code training looks at accepted changes and the work required to review them. Counting generated lines or commands is not an engineering result. A bounded trial can compare issue completion, review comments, rework and defects while accounting for task difficulty. Learners prepare a team checklist covering context, scope, tests and decisions needing approval. Engineering leads decide where the method fits existing review and release practices. Training does not introduce an autonomous deployment pipeline or promise a velocity multiplier. Any rollout involving internal systems, wider permissions or unattended execution requires its own technical assessment and operating controls.
- Review checklist for AI-assisted changes
- Trial measures including rework and defects
- Follow-up with engineering ownership and rollout boundaries
What you take forward
What you leave with
Technical prerequisite checklist
Safe training repository
Issue and acceptance-test pack
Permission decision exercise
Independent assessment feedback
Team review checklist
- 01
Preflight the project
Confirm approved access and a clean, runnable training repository.
- 02
Bound the issue
State file scope, behaviour, acceptance tests and action limits.
- 03
Build and verify
Inspect changes, run tests and diagnose a deliberate failure.
- 04
Review team use
Assess a bounded trial using accepted changes and rework evidence.
| Stage | What it changes |
|---|---|
| Preflight the project | Confirm approved access and a clean, runnable training repository. |
| Bound the issue | State file scope, behaviour, acceptance tests and action limits. |
| Build and verify | Inspect changes, run tests and diagnose a deliberate failure. |
| Review team use | Assess a bounded trial using accepted changes and rework evidence. |
The next move
How much review time does AI-assisted code currently cost your team?
Tell Paloren about your development team and stack. We will send a proposal within two business days and reply within one business day.
- First reply
- From the team, within one business day.
- What to bring
- The problem, the systems involved and what should work better.
- What happens next
- Paloren turns it into a working brief. The team reviews it.
Before we begin
Questions we get asked, answered with numbers
Can non-developers take this course?
No. Participants need to be comfortable with a repository, Git and a terminal. Technical founders qualify. Product managers and analysts should start with the business Claude course and can sit in on the last 60 minutes of this one to see the review workflow.
Can we use our actual codebase?
Yes, once three things are confirmed: who owns the code, that no production credentials are needed, and that the practice branch is disposable. The safer default is a dedicated training repository seeded with 3 or 4 real-shaped issues, which we prepare a week ahead.
Do you cover MCP or agent workflows?
Briefly in the base course (half-day or full-day, 6 to 16 developers) and properly in an advanced full day for teams already shipping with Claude Code. Exercises use mock integrations so nobody's tokens or systems are at risk on the day.
Will the workshop change our release pipeline?
No. The workshop produces reviewed practice changes, not merges. If the team decides to change CI rules, review gates or unattended execution afterwards, that is a separate decision with its own approvals. Most teams change their pull-request template within 2 weeks and nothing else.
What should participants bring to a Claude Code workshop?
Familiarity with a terminal, Git and the training project language. Before the session, participants confirm approved access, installation requirements and the ability to run the example tests. Exercises use a safe project without production credentials, and no autonomous deployment pipeline is introduced.
How much review time does AI-assisted code currently cost your team?
