Equip and support your team

Claude Code & Codex enablement

Get your developers productive with AI coding agents, with guardrails your engineering leads trust.

AI coding agents such as Claude Code and OpenAI Codex can read a codebase, make changes, and run commands. Used well, they speed up routine development. Used carelessly, they create review headaches. We configure them for your repositories and train your developers on practices that keep quality high.

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When this helps

Developers are experimenting with coding agents inconsistently.
Agent output doesn't follow your conventions.
You need clear rules on what agents may run or change.
You want agents connected to your issue tracker or internal tools.

What AgentSpring does

1
Configure the tools
Install and configure agents for your environments, with sensible defaults.
2
Write repository instructions
Files that tell the agent your conventions, commands, and boundaries — so output fits your codebase.
3
Build reusable skills and connections
Packaged procedures for common tasks and MCP connections to tools like your issue tracker or docs.
4
Set permissions and review practices
Decide what agents may execute, and how changes are reviewed before merging.

What you receive

These are potential deliverables. Your proposal defines the exact deliverables and responsibilities; not every item applies to every engagement.

Configured agent setup for agreed repositories
Repository instruction files
Reusable skills for common tasks
MCP connections where useful
Permission and review guidelines
Hands-on training sessions for developers

What we need from your team

Good results depend on your team's involvement.

An engineering lead to set standards
Repository and environment access
Developers' time for training and feedback

How success is assessed

Agents follow repository conventions on sample tasks
Permissions match your security expectations
Developers use a consistent review process for agent changes

What affects scope, timing, and cost

Number of repositories and languages
Security and environment constraints
Number of developers trained
Custom skills or connections required

Projects are scoped around your goals, existing systems, and the work required. Before work begins, we agree on deliverables, responsibilities, fees, and any ongoing software or support costs.

Where relevant, third-party licenses, hosting, model usage, and ongoing support are separate costs identified before work begins. Your proposal also defines integration access, ownership arrangements, handover, and support scope.

How pricing works

Illustrative example

Example: standardizing agent use across a small team

A five-person development team might get shared instruction files for each repository, a skill for writing migrations the way the team prefers, a read-only connection to the issue tracker, and a rule that agent-generated changes always go through pull request review.

See work & examples

Questions about this service

Is this only for large engineering teams?

No. Small teams often benefit most because a few conventions go a long way.

Will the agent push code on its own?

Only if you allow it. Most teams keep agents behind normal review.

Do you work with GitHub Copilot or Cursor too?

Yes. Many of the same practices apply across coding tools.

Related services

Talk through claude code for your business.

The free workflow review is your starting point. Bring a project, a process, or a question about where to start.

What happens on the first call?

We’ll discuss what you want to improve, the tools you use, and the constraints you’re working within. You’ll leave with 2 to 3 automation ideas, whether or not we work together.

Start with a defined project or an uncertain problem. You’ll leave with 2 to 3 automation ideas, whether or not we work together.