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Código

Custom development with code, when no platform in the stack fits, we build exactly what your operation needs.

End-to-end

design, deploy, tests, CI/CD and observability included by default

4 layers

Frontend (Next.js, React) · Backend (Python, TypeScript) · Data (Postgres, vector DBs) · Infra (Vercel, AWS)

Multi-LLM

Anthropic Claude · OpenAI · local models with Ollama, alternable based on cost-precision

Vector DBs

Pinecone · Weaviate · Qdrant for RAG on client's own data

01. Context

The layer where day-to-day work lives.

There are cases where Make, n8n, Airtable or Notion fall short: because the client's legacy system does not expose a modern API, because data processing requires volume that breaks iPaaS plans, because the AI agent the operation needs has specific logic that does not fit in a single node, or simply because it is no longer about orchestrating existing tools but about building the system from scratch. For those cases we build custom with code.

We work on a modern stack: Python and TypeScript on the backend, Next.js and React on the frontend, Postgres and vector databases (Pinecone, Weaviate, Qdrant) on the data layer, Vercel and AWS on deployment. Projects range from internal APIs and microservices to full-stack dashboards, RAG systems on client's own data, custom AI agents with multi-step orchestration and integrations with legacy systems via SOAP, ODBC or proprietary protocols. Each deployment includes automated tests, CI/CD, observability and operational documentation so your team can maintain it when we are no longer around.

02. How we apply it

Five fronts where custom development fits perfectly.

The applications that come up most often in our projects.

01

Custom AI agents and RAG systems

When the case demands more complex logic than fits in a no-code AI Agent node: multi-step orchestration with persistent memory, routing between models according to the cost-precision of the query, automatic response evaluation, RAG on proprietary data with custom vector databases.

02

Internal APIs and microservices

Custom backend services for clients with heterogeneous stacks: REST or GraphQL, authentication (OAuth, JWT, SSO), rate-limiting, monitoring and containerized deployment. Useful when iPaaS fall short and the integration needs reusable logic across several client products.

03

Full-stack apps for non-standard cases

When Softr or Retool do not fit due to UX, scale or customization requirements: Next.js + Postgres + enterprise authentication. Internal apps, client portals or complete digital products with backoffice included.

04

Integrations with legacy systems

SAP, mainframes, proprietary ERPs, systems with SOAP, ODBC, FTP or WebDAV protocols. What no iPaaS touches, we build as an adapter with its own monitoring and retries layer so the rest of the stack does not inherit its fragility.

05

Data processing at scale

When Make or n8n break due to volume (millions of records, complex scrapers, embedding pipelines): Python pipelines with Airflow or Prefect, distributed processing, deployment in client's own infrastructure to keep the data under control.

03. What changes for you

The advantages of working with us.

At The Optimal Flow we operate code as one of the consultancy's core specializations. We take custom projects to production for clients who needed more than any platform could offer, and we know what separates an MVP that works in demo from a system that holds up in production year after year. For you it translates into concrete things: architecture designed from the start to scale, not to impress in the first meeting. Tests, CI/CD and observability included by default, not as Phase 2 extras. Operational documentation your team can maintain when we are no longer around.

Where we extract the most value from your investment is in how the code we build talks to the rest of your operation. Most development agencies deliver isolated repositories and leave the integration problem for your team to solve. We design the system knowing how it connects with your CRM, your knowledge base, your data layer and your automated flows, because we have built that rest of the stack for many clients before. Custom code is not an island that calls two APIs; it is one more piece of an operation that has to work as a whole, and designing it that way from the first commit saves months of rework when the business grows.

Let's talk.

Book a free intro session so we can understand where you stand and how we can help. No strings attached.