Training course · Replit Agent · API Development

Replit Agent for API Developers

Build, test and host apps in the browser: go from idea to a published application with a database using Replit Agent.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Replit Agent for API Developers” is designed for roles such as Backend developers building REST, GraphQL or gRPC interfaces, API architects and owners of API governance and Integration developers connecting partners and platforms and shows step by step how to use Replit Agent productively, safely and transparently in API Development – from the fundamentals to advanced workflows.

Replit brings together a development environment, runtime, database and hosting in a single browser workspace. Replit Agent builds on top of that: you describe an application in plain language, and the agent drafts a plan, creates files, installs packages, sets up a database, starts the app and tests it on its own. In this one-day course you learn to steer that process deliberately, whether you are a professional developer, a product manager validating ideas, an educator, or a founder who needs a first product quickly.

You work on an application of your own, such as an internal tool, a small API, a data dashboard or an MVP with user accounts. Along the way you learn to state requirements clearly, use checkpoints for safe rollbacks, handle secrets and the database correctly and choose the right deployment type. For technically experienced participants we go deeper into code structure, Git integration and debugging in the shell. Finally, you take a realistic look at costs, security and limits, so that a quick prototype does not turn into an unmanageable production system.

APIs form the backbone of modern software landscapes and are increasingly the interface through which AI agents interact with systems. AI coding assistants speed up the entire API lifecycle, from drafting an OpenAPI or AsyncAPI specification to generating server stubs, clients and contract tests, through to documentation and versioning. At the same time, demands for consistency, security and backward compatibility keep rising, because APIs are consumed by many teams, partners and automated agents. In this course you learn to practise API-first development with AI support, enforce design guidelines automatically, catch breaking changes early and expose existing interfaces to AI agents through the Model Context Protocol or tool definitions.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Backend developers building REST, GraphQL or gRPC interfaces
  • API architects and owners of API governance
  • Integration developers connecting partners and platforms
  • Platform engineering teams running API gateways and developer portals
  • Developers making company data available to AI agents

Typical challenges we address

  • Inconsistent API design across teams with differing conventions for errors, pagination and versioning
  • Specification, implementation and documentation drift apart
  • Breaking changes are only discovered by consumers
  • Securing authentication, authorisation and rate limiting as users and agent traffic grow

What you will be able to do

  • You phrase requirements so that Replit Agent plans and builds a suitable application.
  • You extend an app step by step and use checkpoints to roll back unwanted changes safely.
  • You set up a database, user sign-in and secrets correctly.
  • You publish your application using the appropriate deployment type.
  • Practise API-first development with AI support, from specification to clients, tests and documentation.
  • Automate design governance, contract testing and breaking-change detection in your pipeline.
  • Make existing APIs available to AI agents securely and in a controlled way, for example via the Model Context Protocol.

Course outline

Module 1 The Replit workspace and Agent at a glance
  • Understanding the workspace: editor, preview, console, shell and files
  • How the agent works: plan, implementation, self-testing and clarifying questions
  • Agent versus Assistant for small, targeted changes
  • Recognising projects that suit Replit Agent and those that do not
Module 2 From idea to working app
  • Writing requirements as a short specification: users, features, data
  • Using plan mode to agree scope and approach up front
  • Extending the app in small steps and checking results in the preview
  • Using checkpoints and rollbacks when a change goes wrong
Module 3 Data, users and integrations
  • Creating the built-in PostgreSQL database, inspecting tables and editing data
  • Setting up sign-in and user management with Replit Auth
  • Storing API keys safely in Secrets rather than in code
  • Connecting external services such as payments, email or AI models
Module 4 Understanding code, debugging and collaboration
  • Reading the project structure: where frontend, backend and data logic live
  • Using console errors and logs and passing them back to the agent
  • Collaborating in real time and versioning projects with Git
  • Making targeted changes to Python and JavaScript projects without the agent
Module 5 Publishing, operations and limits
  • Choosing a deployment type: static, autoscale, always-on or scheduled
  • Setting up a custom domain, environment variables and monitoring
  • Estimating and capping costs for agent usage and hosting
  • Data protection, access rights and handover to a development team
Module 6 Practice lab: API Development
  • Generating OpenAPI specs
  • Generating servers and clients
  • Building contract tests
  • Detecting breaking changes
  • Reviewing API security
  • Opening APIs to AI agents
Module 7 Data protection, quality & transfer to daily work
  • APIs frequently carry personal and confidential data: you learn to create specifications and sample data without real customer records, keep API keys and tokens out of the AI context and apply data protection by design under the GDPR as well as NIS2 requirements.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Generating OpenAPI specs

Draft complete OpenAPI specifications with schemas, examples, error objects and security schemes from requirements, domain models or existing code, and check them against your style guide rules.

Generating servers and clients

Derive controller scaffolding, validation logic and type-safe client SDKs for several languages from a specification, keeping generated parts cleanly separated from hand-written business logic. Regenerating after spec changes is simple.

Building contract tests

Define consumer-driven contracts, generate test cases for edge values, error paths and authentication, and run them automatically in CI against both the specification and the live implementation.

Detecting breaking changes

Compare two versions of a specification, identify incompatible changes, write migration notes for consumers and plan deprecation strategies using versioning and sunset headers. The check runs on every pull request.

Reviewing API security

Analyse endpoints for typical weaknesses from the OWASP API Security Top 10, such as broken object-level authorisation, mass assignment or missing rate limits, and propose fixes.

Opening APIs to AI agents

Expose existing interfaces as MCP servers or tool definitions, phrase descriptions and parameters so agents use them correctly and scope permissions so agents can only perform approved actions.

Possible hands-on projects

API linter with house rules

A command-line tool that checks OpenAPI files against your design guidelines and posts clear improvement suggestions directly on the pull request.

Mock server from spec

A small service that generates realistic sample responses from a specification so frontend teams can work in parallel with backend development.

MCP server for an internal API

An MCP server that exposes selected endpoints of an internal REST API as tools for AI assistants, with authentication and logging.

Prerequisites

Confident computer use and curiosity about software development are enough to get started. Programming experience in Python or JavaScript helps but is not required. You build backend applications in a mainstream language such as Java, C#, TypeScript, Python or Go and understand HTTP, JSON and REST fundamentals.

Technical requirements

A laptop with an up-to-date browser and a Replit account; a paid plan is required for working with the agent and for deployments.

Data protection & compliance

APIs frequently carry personal and confidential data: you learn to create specifications and sample data without real customer records, keep API keys and tokens out of the AI context and apply data protection by design under the GDPR as well as NIS2 requirements.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 Online Request
  • Thu, 10 December 2026 Bremen Request
  • Mon, 18 January 2027 Online Request
  • Fri, 29 January 2027 Salzburg Request
  • Fri, 12 February 2027 Online Request
  • Mon, 22 February 2027 Kaiserslautern Request

Frequently asked questions

Can I attend without programming experience?

Yes. Replit Agent writes the code while you focus on requirements, testing and decisions. We explain the key concepts, such as database, API and deployment, in plain terms. Participants with programming experience get deeper dives into code structure and debugging, so both groups get real value from the day.

Who owns the code, and can I move away from Replit?

The generated code is a normal project in your workspace and can be pushed to your own repository via Git or downloaded. Moving to other infrastructure is possible but requires changes to the database, authentication and deployment setup. In the course we show you what to keep in mind from the start.

How do I keep costs under control?

Agent usage is billed by effort, and hosting is charged separately depending on deployment type and resources. Clear, incremental prompts, plan mode and using the Assistant for small tweaks reduce consumption considerably. We show where to monitor usage, how to set spending limits and which deployment type is cost-effective for your use case.

Is spec-first still worth it when AI writes code so quickly?

More than ever. A precise specification is the best context you can give an AI assistant: it pins down data structures, error cases and security requirements, serves as a contract for consumers and underpins your tests. Without one, AI quickly produces inconsistent endpoints. In the course you use the spec as the single source for generation and validation.

What is the difference between a REST API and an MCP server?

A REST API is aimed at developers and applications, whereas an MCP server exposes capabilities in a standardised format for AI assistants and agents, including descriptions the model can interpret. An MCP server is often a thin layer on top of existing APIs. You learn when that step pays off and how to implement it securely.

How much does “Replit Agent for API Developers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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