Reliable API integrations

How can you integrate external data into an application without exposing its secrets or hiding errors?

  • Lovable
  • Claude Code
  • Codex

1960 € per session, excl. VAT

In short

In one 7-hour day, excluding breaks, you implement an API integration in a demonstration application: reading the contract, authentication, transforming responses and handling errors. AI-assisted code is reviewed and tested; quality is measured against reproducible scenarios, with no commitment to production deployment.

Why this training?

A successful HTTP response is not enough: inconsistent units, overlooked pagination or stale data can distort a purchasing decision. The integration must translate the technical contract into explicit business rules. Lovable, Claude Code or Codex can help generate and modify code from instructions. Human review remains essential to check calls, protect secrets and verify the behaviour actually observed. Running case study: The fictional organisation Avelune Quincaillerie wants to display parts availability in its internal application. A simulated API provides paginated stock data; a second returns supplier lead times. Buyers must distinguish a confirmed stockout from unavailable information. Transfer to the workplace: Reuse the integration dossier for an authorised business API, have access and retention rules validated, then rerun the tests in an isolated environment before any deployment decision.

Objectives of this training

  • Extract relevant parameters, limits and schemas from documentation.
  • Implement two connectors with response validation.
  • Protect secrets in the server configuration.
  • Handle errors, timeouts and rate limits.
  • Measure a prototype’s reliability and calls through tests.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Business application developers and designers who practise AI-assisted coding.
  • Technical leads responsible for a workflow using external data.

Prior skills

  • Be able to read and modify code, run an application and interpret an error.
  • Understand HTTP, JSON and browser–server separation.
  • Have experience with code generation instructions and their verification.

What you will work on

  1. Define contracts and decisions

    Objective: Translate buyers’ needs into API exchanges. Routes, methods, parameters, JSON schemas, pagination and stock data freshness.

  2. Isolate sensitive access

    Objective: Build a secure separation of responsibilities. Server calls, secret configuration, minimum permissions and sanitised logs.

  3. Code the connectors

    Objective: Obtain responses the application can use. Contextualised instructions, type validation, unit conversion and review of changes.

  4. Make failures explicit

    Objective: Preserve business correctness despite incidents. 401, 429 and 5xx errors, delays, bounded retries and user messages.

  5. Reduce unnecessary calls

    Objective: Optimise without hiding the age of the data. Deduplication, cache with explicit expiry, invalidation and request counting.

  6. Test and prepare the handover

    Objective: Make the prototype verifiable by a third party. Reproducible tests, expected results, known limitations and deployment conditions.

What you take away

  • Matrix of API contracts and business mappings.
  • Runnable prototype with connectors and configuration without secrets.
  • Test report with measurements before and after optimisation.
  • Handover guide: launching, limitations and pre-deployment checks.

Method and assessment

  • Short explanations followed by immediate practice on the running case study.
  • Individual work followed by work in pairs, with peer review of the outputs.
  • Guided group discussion: what works, what needs correcting and what remains a human decision.
  • Preparation: Prepare an isolated environment and access to Lovable, Claude Code or Codex, depending on the tools authorised by the organisation. Have the application skeleton, simulated APIs and their contracts available; use only fictional or anonymised data, with no real secrets in the instructions.

Observable criteria: The stock levels and lead times displayed match the supplied response sets. ; No secrets appear in the browser, logs or version-controlled code. ; Success, invalid response, 401, 429 and timeout scenarios are tested. ; The number of calls and the test pass rate are recorded. ; An external outage never becomes a displayed stockout..

Frequently asked questions

Do you need to use all three tools?

No, one authorised tool is sufficient; consult its official documentation for its capabilities and configuration procedures.

Is a real API necessary?

No, the simulated APIs allow pagination, authentication and incidents to be reproduced without external access.

Can you send a key to the assistant?

No. The instructions use variable names; secrets remain in the designated configuration.

Will the prototype be deployed?

No. The day produces an integration tested in an isolated environment, with its limitations documented.

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