Training course · Replit Agent · MVP Development for Startups

Replit Agent for Startups and MVP Development

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

This course connects Replit Agent with the everyday processes of MVP Development for Startups. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

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.

For founders and early product teams, speed determines how fast they learn from the market. AI coding tools, vibe coding and app builders now make it possible to turn an idea into a working minimum viable product with sign-up, database, payments and a landing page within days, often without a large engineering team. The real challenge shifts as a result: which hypothesis are you testing, which features truly belong in the MVP, and how does a quick prototype become a codebase that withstands investor due diligence, the first paying customers and growth? In this course you learn to build MVPs purposefully with AI agents, manage technical debt deliberately, build in security and data protection from day one and prepare the handover to a professional engineering team.

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?

  • Founders with little or no programming experience
  • Technical co-founders and first engineers in startups
  • Product managers in early-stage product teams
  • Corporate innovation and venture building teams
  • Participants in incubator and accelerator programmes

Typical challenges we address

  • Limited time and budget to validate a product idea in the market
  • Lack of engineering capacity or dependence on external agencies
  • Quickly built prototypes with security holes, open databases and unclear architecture
  • Uncertainty about when to rewrite an MVP and when to evolve it

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.
  • Turn a business idea into a focused MVP scope and build it yourself with AI tools.
  • Integrate sign-up, database, payments and analytics and check your MVP for common security gaps before launch.
  • Manage technical debt deliberately and prepare the codebase for growth, due diligence and an engineering team.

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: MVP Development for Startups
  • From pitch to specification
  • Building the MVP by prompt
  • Payments and integrations
  • Landing pages and experiments
  • Pre-launch security check
  • Making the codebase hand-over ready
Module 7 Data protection, quality & transfer to daily work
  • Even an MVP processes real customer data: you learn to implement GDPR essentials such as privacy notices, data processing agreements and consent, manage API keys and secrets securely and clarify licensing and copyright questions around generated code that become relevant in due diligence.
  • 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

From pitch to specification

Translate the business idea, target group and core hypothesis into user stories, a data model and a prioritised scope that stays deliberately small and includes measurable learning goals for the market test.

Building the MVP by prompt

Generate a web app with sign-up, database, core feature and admin area step by step using AI agents or app builders, working in small, tested iterations with the code under version control.

Payments and integrations

Integrate subscriptions and one-off payments through a payment provider, transactional email, analytics and first integrations, with webhooks, error handling and securely stored API keys. Test and live modes stay separate.

Landing pages and experiments

Create landing pages, waitlists and pricing pages in several variants, track conversion events and run quick A/B tests to check demand and willingness to pay before investing in heavier development.

Pre-launch security check

Have the MVP code checked for open database rules, missing access controls, exposed keys and unprotected endpoints, and work through a short checklist for a safe go-live.

Making the codebase hand-over ready

Document the architecture, add tests, refactor critical areas and produce a technical overview that new engineers or a technical due diligence can follow quickly. This also helps investor conversations.

Possible hands-on projects

Waitlist landing page

A landing page with value proposition, email capture, double opt-in and a simple dashboard that analyses sign-ups and traffic sources.

Booking MVP

A small web app where customers book and pay for appointments, providers manage availability and both sides receive email confirmations.

Interview synthesis tool

A tool that collects notes from customer interviews, clusters statements by problems and wishes and shows evidence for or against the core hypothesis.

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 have a concrete product idea or work in an early-stage product team; no programming skills are required, though a basic technical understanding helps.

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

Even an MVP processes real customer data: you learn to implement GDPR essentials such as privacy notices, data processing agreements and consent, manage API keys and secrets securely and clarify licensing and copyright questions around generated code that become relevant in due diligence.

Suggested dates

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

  • Tue, 24 November 2026 Online Request
  • Fri, 11 December 2026 Stuttgart Request
  • Fri, 22 January 2027 Online Request
  • Thu, 28 January 2027 Berlin Request
  • Wed, 3 February 2027 Online Request
  • Tue, 16 February 2027 Munich 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.

Can a non-technical founder really build an MVP alone?

For many business models, yes: web apps with sign-up, data storage, a core feature and payments can be built with AI tools without programming skills. What matters are clear requirements, small steps and systematic testing. Complex logic, high security demands or rapid growth will eventually call for engineering expertise. In the course you learn to recognise that point.

Will an AI-built MVP have to be rewritten later?

Not necessarily. If you use version control from the start, keep the data model understandable, test core features and separate configuration from code, an MVP can often evolve step by step. We show which early decisions make later rework easier and how to tell when starting afresh is the cheaper option.

How much does “Replit Agent for Startups and MVP Development” 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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