We Help to Implement Your Ideas into Automation
Birchblue has shipped production software since 2019 — React and Angular front ends, Python and PHP services, Kubernetes deployments, and platform migrations for clients across the US, including a framework migration on a revenue-carrying Tesla ordering application.
This is the engineering foundation everything else is built on. A firm that only sells AI has no way to prove it can operate the systems underneath it.
You cannot govern agents on infrastructure you do not control.
Every governed AI system we build sits on ordinary software: APIs, data stores, deployment pipelines, authentication. When that layer is fragile, no amount of agent orchestration saves it.
A firm that only sells AI has no way to prove it can operate what runs underneath. We have been shipping production software since 2019 — and most engagements still start here.
- Load-bearing legacy systems. Applications carrying revenue where the migration has to be provably safe rather than merely finished.
- End-of-life dependencies. Frameworks and runtimes past support, where unpatched CVEs have no upstream fix path and the cost of waiting compounds every quarter.
- Platforms that need to hold under load before anyone adds an agent to them.
- Integration work where the failure modes matter more than the happy path.
- Endpoint-level coverage. Automated collections covering every endpoint, run as the release gate.
- No behaviour-preserving assumptions. A framework upgrade is treated as a change that must be proven, not one that is presumed safe.
- Standards over frameworks. We prefer PSR-style interfaces and portable contracts so the next migration is cheaper than this one.
- Decision records. Every architectural choice carries a written rationale your next engineer can read.
Seven years of production delivery.
Chosen for operational fit rather than fashion. A small operational surface means fewer moving parts to fail under load and hosting economics that stay sane at scale.
| Layer | What we work in |
|---|---|
| Front end | React, Angular — component architecture and client-side state for applications where data updates in place rather than by page reload |
| Services | Python, PHP, Node — lean API layers with predictable performance characteristics |
| Data | Relational and document stores, vector search, versioned schema migrations |
| Platform | Docker, Kubernetes, cloud deployment, CI/CD with gates that cannot be bypassed |
| Migration | Framework and runtime upgrades, legacy-to-modern platform moves, large-scale content migration |
Same discipline as the AI work.
Fixed scope, declared gates, named outcomes, handover with runbooks and architecture decision records. One client engagement at a time.
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