Training course · Replit Agent · Product Management

Replit Agent for Product Managers

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 Product Managers” is designed for roles such as Product managers, Product Owners in agile teams and Heads of Product and product directors and shows step by step how to use Replit Agent productively, safely and transparently in Product Management – 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.

Product managers connect customer needs, business goals and technical delivery. Their day revolves around discovery, prioritisation, specification and alignment with engineering, design, sales and leadership. Generative AI speeds up almost every one of these steps: it analyses customer feedback, interviews and support tickets, helps write product requirements and user stories, structures competitor analyses and prepares roadmap communication for different stakeholders. With vibe coding, product managers can build clickable prototypes themselves and test ideas before committing engineering capacity. AI agents bring together signals from analytics, CRM and feedback tools. That leaves more time for product vision, decisions and conversations with customers.

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?

  • Product managers
  • Product Owners in agile teams
  • Heads of Product and product directors
  • Product marketing teams
  • UX researchers and product designers

Typical challenges we address

  • Large amounts of unstructured feedback from many channels
  • Heavy effort for specifications and stakeholder alignment
  • Prioritising under uncertainty and competing interests
  • Long lead times from idea to testable prototype

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.
  • Synthesise customer feedback and market information with AI into well-founded product decisions.
  • Produce specifications, user stories and roadmap communication faster and more precisely with AI.
  • Build clickable prototypes through vibe coding to validate ideas early with users.

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 Hands-on project: your own solution for Product Management
  • Feedback hub – A small app that collects feedback from various sources, tags it by theme and shows which problems are mentioned how often and by which customer segments.
  • RICE prioritisation calculator – An internal tool for scoring initiatives on reach, impact, confidence and effort and displaying them as a sortable ranking. Assumptions are documented per initiative.
  • Release notes generator – A web app that reads a list of completed tickets and produces release notes in an internal and a customer-facing version.
Module 7 Data protection, quality & transfer to daily work
  • Customer feedback and usage data often contain personal information and are subject to the GDPR; they should be pseudonymised before being processed in AI tools. Roadmaps and unreleased product information are trade secrets, and AI features in your own product must be assessed against the requirements of the EU AI Act.
  • 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

Synthesising customer feedback

Interviews, support tickets, app reviews and surveys are grouped by theme, problem and request and turned into an opportunity overview with supporting quotes for discovery.

PRDs and user stories

Problem statement, target users and goals become drafts of product requirement documents, user stories with acceptance criteria and edge cases, refined with engineering and design.

Preparing prioritisation

AI helps score initiatives using frameworks such as RICE or Kano, surface assumptions and prepare arguments for and against options ahead of prioritisation discussions. Disagreements become easier to resolve.

Competitor and market analysis

Feature comparisons, positioning and pricing models of competitors are structured and updated regularly; claims are backed by sources and checked critically. You keep track of market moves without lengthy manual research.

Prototypes via vibe coding

Product managers use AI coding tools to build clickable prototypes and simple functional demos to test concepts with users and make requirements tangible for the team.

Roadmap and release communication

Roadmaps, release notes, internal enablement material and customer communication are tailored to the audience – technical for engineering, benefit-led for sales and customers. Every audience gets exactly what it needs.

Possible hands-on projects

Feedback hub

A small app that collects feedback from various sources, tags it by theme and shows which problems are mentioned how often and by which customer segments.

RICE prioritisation calculator

An internal tool for scoring initiatives on reach, impact, confidence and effort and displaying them as a sortable ranking. Assumptions are documented per initiative.

Release notes generator

A web app that reads a list of completed tickets and produces release notes in an internal and a customer-facing version.

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. Experience in product management or as a Product Owner; no programming skills required.

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

Customer feedback and usage data often contain personal information and are subject to the GDPR; they should be pseudonymised before being processed in AI tools. Roadmaps and unreleased product information are trade secrets, and AI features in your own product must be assessed against the requirements of the EU AI Act.

Suggested dates

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

  • Fri, 27 November 2026 Online Request
  • Mon, 7 December 2026 Stuttgart Request
  • Mon, 18 January 2027 Online Request
  • Thu, 28 January 2027 Berlin Request
  • Fri, 5 February 2027 Online Request
  • Thu, 11 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 AI make product decisions?

No, but it improves the basis for them. AI condenses feedback, surfaces assumptions and prepares options. Product vision, weighing trade-offs and accountability for decisions remain with product management. In the course you use AI deliberately as an analysis and sparring partner without giving up critical judgement.

How far can I get with vibe-coded prototypes?

Very far for clickable interfaces, simple logic and user testing – often within a few hours. Production-ready software with security, scalability and maintainability remains engineering's job. The course shows how prototypes improve collaboration with the team rather than replacing it.

How much does “Replit Agent for Product Managers” 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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