Prompt. Build. Repeat. – The Vibe Coding Mindset | Angular Graz Meetup 2025

Software development is undergoing a paradigm shift: Vibe Coding introduces a new way of building applications by communicating with artificial intelligence rather than writing traditional code. With just a few sentences in natural language, large language models like GPT-4 generate functional software – often within minutes.

This talk explores how Vibe Coding works in practice and how it’s transforming the everyday workflows of people in software development. Tools like GitHub Copilot, Lovable, and Cline enable a new kind of collaboration between humans and AI, where prompting becomes the core skill. Instead of focusing on syntax and boilerplate, developers can concentrate on creativity, goals, and iteration.

But Vibe Coding is about more than just speed. It lowers the barrier to entry, democratizes technical capabilities, and unlocks entirely new creative possibilities. At the same time, it raises important questions around data privacy, quality assurance, and the evolving role of tech professionals in a world where anyone can generate working code.

Whether you’re already experimenting with AI or just curious about what’s next – this talk will provide inspiration, strategies, and a fresh perspective on what software development is becoming: Prompt. Build. Repeat.

Transcript

1. Prompt. Build. Repeat. The Vibe Coding Mindset Daniel Sogl @sogldaniel Software architect
2. Daniel Sogl • Software architect @ Thinktecture AG • MVP – Developer & Web Technologies • Focus: Angular and Generative AI • Socials: https://linktr.ee/daniel_sogl About me The Vibe Coding Mindset Prompt. Build. Repeat.
3. • Lovable: $0 → $100M ARR in 8 months • Cursor: $100M ARR in 12 months, $2.5B valuation • GitHub Copilot: $400M ARR, 281% growth BUT... • 95% of AI pilots fail to achieve revenue acceleration • 42% of companies abandoned AI initiatives in 2025 • 19% slower coding despite feeling 20% faster Prompt. Build. Repeat. The Vibe Coding Mindset $100M Paradox https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf https://beam.ai/agentic-insights/why-42-of-ai-projects-show-zero-roi-(and-how-to-be-in-the-58-) https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
4. Vendor Claims vs Reality The Marketing: • GitHub Copilot: 55% faster task completion • Amazon CodeWhisperer: 57% speed improvements • Cursor users report: 5-10x productivity multipliers • 96% of developers use Copilot the same day they install it Prompt. Build. Repeat. The Vibe Coding Mindset The Promise Machine https://github.blog https://aws.amazon.com/q/developer/ https://cursor.com/students
5. Controlled Study: 16 Experienced Developers, 246 Real Tasks • Actual performance: 19% SLOWER with AI tools • Developer perception: Believed they were 20% faster • Perception gap: 40 percentage points difference • Tool used: Cursor with Claude Sonnet 3.5 Prompt. Build. Repeat. The Vibe Coding Mindset Reality Check - The METR Study https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
6. GitClear Analysis: 153-211 Million Lines of Code • Code churn: Projected to double in 2025 • Copy-pasted code: 8.3% → 12.3% (+48%) • Code refactoring: 25% → <10% (-60%) • Delivery stability: 7.2% decrease (Google DORA Report) Prompt. Build. Repeat. The Vibe Coding Mindset Code Quality Catastrophe https://www.gitclear.com/ai_assistant_code_quality_2025_research
7. Veracode 2025 Study: AI Code Security Failures • 45% of AI-generated code fails security tests • Java security failure rate: 72% • Secret leakage: 40% higher in Copilot repos Prompt. Build. Repeat. The Vibe Coding Mindset Security Nightmare https://www.veracode.com/blog/genai-code-security-report/ https://blog.gitguardian.com/yes-github-copilot-can-leak-secrets/ https://snyk.io/reports/ai-code-security/
8. From Andrej Karpathy Tweet to Cultural Phenomenon • February 2nd, 2025: Karpathy coins the term • Now in Webster's Dictionary • Meme status: "Vibe coding is easy. Vibe debugging is the hard part" Prompt. Build. Repeat. The Vibe Coding Mindset Enter "Vibe Coding"
9. Prompt. Build. Repeat. The Vibe Coding Mindset
10. Not All AI Coding Is Vibe Coding • AI Typing Assistant: Code completion, suggestions • AI Pair Programming: Collaborative problem- solving • True Vibe Coding: "Forget the code exists" Prompt. Build. Repeat. The Vibe Coding Mindset The Vibe Spectrum
11. The Stakes Are Higher Than You Think • 50,000+ organizations using GitHub Copilot • 41% of all code is now AI-generated • Path to a billion programmers (GitHub CEO) • $326.2B market by 2035 (low-code platforms) The Critical Question: Are we democratizing development or industrializing technical debt? Prompt. Build. Repeat. The Vibe Coding Mindset Why This Matters https://www.elitebrains.com/blog/aI-generated-code-statistics-2025 https://www.netcorpsoftwaredevelopment.com/blog/ai-generated-code-statistics https://blog.github.com
12. Why coding tools fail to support you • LLMs were trained on older data • LLMs don’t understand your architecture without help • LLMs don’t know your company domains • LLMs don’t know your coding standards • Developers don’t write prompts describing every edge case or needed context to solve tasks • Different tasks require different context Prompt. Build. Repeat. The Vibe Coding Mindset Limitations of LLMs
13. Simplify your prompts • Project-specific coding standards • Architectural patterns and constraints • Domain knowledge embedding • Step-by-step reasoning requirements How to generate?: - Ask the AI to analyze your codebase - Use predefined instructions – Itterateive update your instructions Prompt. Build. Repeat. The Vibe Coding Mindset Fighting Back - Custom Instructions
14. AGENTS.md • The problem: each tool uses different file names for custom instructions • AGENTS.md aims for becoming supported by all AI tools Prompt. Build. Repeat. The Vibe Coding Mindset Standardization of Custom Instructions
15. The key for ”intelligent” workflows • Open-source protocol developed by Anthropic • Provides a consistent way for LLMs to interact with external resources • Client-Server architecture: AI applications (clients) request context from external services (servers) • Official servers are available for GitHub, Atlassian, Playwright, Stripe, Databases and more • It’s the key to useful AI-coding setups in complex environments Prompt. Build. Repeat. The Vibe Coding Mindset Model Context Protocol (MCP)
16. Prompt. Build. Repeat. The Vibe Coding Mindset MCP workflows Developer asks: “Explain failing tests in PR #42.” Copilot calls GitHub MCP → fetches PR diff + CI log LLM reviews context → returns root-cause & fix steps Dev clicks “Apply fix” → Copilot edits code & opens new PR
17. • Not all LLMs are equal: Performance varies widely • Understand reasoning vs. non-reasoning models • Context size matters greatly in coding scenarios • Benchmarks help guide practical model choice • Cost per 1 million input/output tokens Prompt. Build. Repeat. The Vibe Coding Mindset Choosing the right LLM for your tasks
18. Prompt. Build. Repeat. The Vibe Coding Mindset Popular LLMs for software development Model Provider Reasoning Context Window SWE-bench $ / 1M tokens Claude 4 Opus Anthropic 200k tokens 72.5 % $15 / $75 Claude 4 Sonnet Anthropic 200k tokens 72.7 % $3 / $15 GPT-5 (high) OpenAI 400k tokens 74.9 % $1.25 / $10 GPT-o3-mini (high) OpenAI 200k tokens 49.3 % $1.10 / $4.40 Gemini 2.5 Pro Google 1M tokens 63 % $1.25 / $10 DeepSeek V3 DeepSeek 163k tokens 38.3 % $0.25 / $0.85 Grok 4 xAI 256k tokens 72 % $3 / $15 Kimi K2 Moonshot 131k tokens 65.8 % $0.13 / $0.13
19. CO-STAR Framework for Coding • Context: Project background, constraints • Objective: Specific goals, success criteria • Style: Coding patterns, conventions • Tone: Collaborative, step-by-step • Audience: Experience level, domain • Response: Format, structure requirements Prompt. Build. Repeat. The Vibe Coding Mindset Prompt Engineering That Works
20. AI-Powered Code Review Pipeline Tools & Impact: • CodeRabbit, GitHub Copilot, Google Gemini • Automated test generation: 80%+ coverage • Snyk DeepCode AI: Pre-production security scanning • Human focus: Business logic, architecture New Workflow: Code → AI Review → AI Tests → Human Review → Deploy Prompt. Build. Repeat. The Vibe Coding Mindset Quality Assurance Revolution
21. How to Do AI Coding Right Setup: • Define custom instructions/rules files • Configure MCP servers for your stack • Choose task-appropriate LLMs Process: • Use CO-STAR prompt framework • Require AI to explain before coding • Implement automated testing generation • Maintain human review of critical paths Quality: • Run security scans on all AI code • Measure actual vs perceived productivity • Track technical debt metrics Prompt. Build. Repeat. The Vibe Coding Mindset Best Practices Checklist
22. Prediction vs Preparation Inevitable Trends: • More autonomous coding agents • Natural language becomes primary interface • AI handles increasingly complex tasks Critical Decisions Today: • How do we maintain code quality? • What skills should humans develop? • How do we ensure security and privacy? Prompt. Build. Repeat. The Vibe Coding Mindset The Future We're Building
23. Your Next Steps 1. Experiment Responsibly • Start with low-risk projects • Implement quality safeguards first • Measure Everything Track actual productivity (not perception) • Monitor code quality metrics • Assess security vulnerabilities 2. Invest in Skills • Prompt engineering techniques • AI tool orchestration • Quality assurance processes Prompt. Build. Repeat. The Vibe Coding Mindset Call to Action
24. Prompt. Build. Repeat. The Vibe Coding Mindset The best developers won’t be replaced by AI, they’ll be the ones who learn to wield it
25. Thanks for your attention Daniel Sogl @sogldaniel daniel.sogl@thinktecture.com