AxonOps AI Software Engineering

Claude-powered software, built to ship and keep shipping

End-to-end software engineering for AI systems: backend, APIs, integration layers, tests, CI, and observability. Production-grade code handed over with a clear ownership model.

What this covers

Scope of engagement

  • End-to-end delivery of Claude-powered software systems: backend, APIs, integration layers, and front-end where needed.
  • Production-grade code with tests, CI, observability, and an explicit ownership model at handover.
  • Retry, backoff, idempotency, and failure handling designed in, not bolted on after an outage.
  • Claude and Anthropic SDK engineering across TypeScript, Python, and Go.
  • Staff augmentation and embedded delivery: we work alongside your engineers, not in a silo.
  • Code reviews, pairing, and knowledge transfer so your team can own what we build.

Engineering discipline forged in operational systems

Shipping software that survives production looks exactly like keeping a Cassandra or Kafka estate healthy: idempotency, retries, observability, and owning the hard edge cases before they become incidents. That discipline is what our engineers bring by default, and it is the difference between a clean demo and a service that keeps running when load, failure, and scale show up.

How we engage

A predictable path from scope to running system

Kickoff

Align on scope, interfaces, quality bar, and ownership. Identify the acceptance criteria that define done.

Deliver

Implement against the architecture in iterative increments. Frequent reviews, early integration, production-grade practices from day one.

Harden

Load, failure, and regression testing. Observability in place before the system reaches production.

Transition

Handover with documentation, runbooks, and a clear ownership model. Optional follow-through during early production use.

Outcomes

What we build with our clients

Production systems, not prototypes

The engagement ships software that runs in production with proper tests, observability, and operational ownership.

Teams that can maintain it

Your engineers leave the engagement comfortable owning, extending, and debugging the code we delivered together.

Claude patterns that hold up

Prompt caching, tool use, retries, and error handling implemented the way they should be the first time.

FAQ

Common questions

Do you work on fixed scope or time and materials?

Both. We prefer fixed-scope phases against explicit acceptance criteria. Where scope is genuinely uncertain, we run short discovery phases before committing to delivery.

Which languages and SDKs are in scope?

Primarily TypeScript, Python, and Go, using the Anthropic SDKs. We work in other stacks where the engagement calls for it, but those are where we move fastest.

Can you work alongside our existing engineers?

Yes. Embedded delivery alongside a client engineering team is our most common model. Pairing and code review are built into the engagement.

How is this different from Claude Integration Engineering?

Integration Engineering focuses specifically on wiring Claude into an existing service: caching, tool use, batching, retrieval. Software Engineering is broader — it covers the full application around Claude, including APIs, queues, data models, and front-end code where needed.

Start a conversation

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