Alle Kurse

AI-Native Software Development

Neu

Use AI as part of a disciplined engineering process. Live online training in agentic coding, specification-driven development and verification loops.

Dauer
4 Einheiten · 16 Stunden
Sprache
Englisch
Format
Live online, mit eigener Lab-Umgebung
Gruppengröße
Max. 16
Voraussetzungen

You need practical software development experience and day-to-day fluency with git, code review and an automated test suite. Prior experience with an AI coding assistant is helpful but not required.

Course overview

AI has moved from autocomplete to systems that plan, write and change code across a whole repository. That shifts where engineering effort goes: less typing, far more work on specification, context and verification. Over two days we work through the full lifecycle - what AI genuinely accelerates, where it quietly introduces risk, and which parts of conventional engineering discipline become more important rather than less.

You will prepare a repository so coding agents can navigate it, write specifications that hold up as a source of truth, delegate bounded tasks to agents, and build the verification loops that make generated changes reviewable. We also cover the security surface that comes with automated code changes, and how all of this lands in an existing git, pull request and CI/CD workflow.

Agenda

  • The AI-native development lifecycle - Where AI changes requirements, design, implementation, testing, review and maintenance - and where conventional engineering discipline remains essential.
  • Vibe coding: strengths and limits - Use rapid AI-assisted prototyping intentionally while recognizing the failure modes of poorly specified, weakly verified development.
  • Repository context engineering - Expose architecture, conventions, dependencies, constraints and project instructions so coding agents can work effectively in existing codebases.
  • Specification-driven development - Turn goals into explicit specifications, acceptance criteria and executable tasks that guide implementation and provide a stable source of truth.
  • Agentic development patterns - Delegate bounded engineering tasks, decompose work, coordinate parallel activities and manage hand-offs between automated and human contributors.
  • Verification loops - Combine tests, static analysis, reviews, evaluation criteria and iterative correction to verify generated changes instead of trusting them by default.
  • Secure AI-assisted coding - Manage secrets, permissions, external tools, untrusted content, dependency risk and the blast radius of automated code changes.
  • Team and delivery integration - Integrate AI-assisted development with version control, pull requests, CI/CD, documentation and shared engineering standards.

You do not need to install anything, bring your own API keys, or get tooling approved by your employer. We provide the lab environment, the coding agents and the model access, so nobody spends the first morning fighting a corporate proxy.

Who this course is for

This course is for developers, architects and tech leads who ship production software and want to use AI as a controlled part of their delivery process rather than an unpredictable one.

Outcome

Participants can structure an AI-assisted development workflow that produces reviewable, testable changes and scales from individual coding assistance to controlled agentic engineering.

What's included

  • Digital documentation.
  • Access to a virtual training center.
  • Certificate of completion from croit.

Bereitgestellte Materialien

  • Digitale Unterlagen zu jeder Sitzung.
  • Ein virtuelles Trainingszentrum mit eigener Lab-Umgebung für die Dauer des Kurses.

Technische Voraussetzungen

  • Eine stabile, schnelle Internetverbindung: mindestens 25 Mbit/s im Down- und 5 Mbit/s im Upstream.
  • Ein Rechner mit einem aktuellen Webbrowser für den Zugang zum Lab.
  • Ein Headset oder Mikrofon mit Lautsprechern, um an Diskussionen und Fragerunden teilzunehmen.
  • Eine Webcam wird empfohlen; sie macht die Sitzung persönlicher und interaktiver.

So läuft die Buchung

  1. 1 Sie registrieren sich und sagen uns, ob Sie eine Bestellung (Purchase Order) benötigen.
  2. 2 Ihre Rechnung kommt innerhalb eines Werktags und erscheint in Ihrem croit-Portal, wo Sie sie per Karte oder Überweisung bezahlen können.
  3. 3 Plätze werden in der Reihenfolge der Zahlung vergeben. Ist ein Termin zuvor voll, bieten wir Ihnen den nächsten verfügbaren Termin an.
  4. 4 Zugangsdaten, der endgültige Ablaufplan und Ihr Lab-Zugang kommen etwa eine Woche vor dem Start.

Fragen vor der Buchung

Wir ergänzen das Jahr über laufend Termine und führen private Gruppenschulungen für Teams durch. Sagen Sie uns, was Sie brauchen, und wir finden eine Lösung.

Inhouse-Schulung