Code smarter, not harder: How AI Coding Tools Boost Your Productivity

Software development is no longer just about writing code – it’s about efficiency, smart solutions, and focusing on what truly matters. AI-powered coding tools like GitHub Copilot, Cursor, bolt.new, and v0 are transforming the way we build software. This talk provides a comprehensive overview of the tools currently available, their use cases, and their limitations. It explores how these tools automate repetitive tasks, accelerate development processes, and create space for more creative and strategic work. Challenges and limitations are also addressed to provide a realistic perspective on their potential. The goal of this talk is to demonstrate how AI coding tools can optimize workflows and make day-to-day work more productive – without compromising on quality.

Transcript

1. Code smarter, not harder How AI Coding Tools Boost Your Productivity Daniel Sogl @sogldaniel Software architect
2. Daniel Sogl • Software architect @ Thinktecture AG • Focus: Angular, Capacitor and AI-Coding • Creator of https://codingrules.ai • Socials: https://linktr.ee/daniel_sogl About me How AI Coding Tools Boost Your Productivity Code smarter, not harder
3. Choosing the Right AI Tools for Your Development Workflow AI Tools for Developers: Prototyping vs. Coding How AI Coding Tools Boost Your Productivity Code smarter, not harder
4. Create a web app to help me easily and efficiently generate social media posts. Users should be able to authenticate themselves to securely access their accounts. Once logged in, users can enter a topic into a free-text field, after which the app will fetch current sources on the provided topic using the Perplexity API. Based on these sources, the app should utilize the ChatGPT API to generate relevant, engaging, and reach-optimized social media posts. All generated posts must be saved persistently in a database and associated with the respective authenticated user. Solve the following challenge How AI Coding Tools Boost Your Productivity Code smarter, not harder
5. In 5 minutes How AI Coding Tools Boost Your Productivity Code smarter, not harder
6. Full-stack applications with a user-friendly approach • User friendly interface for nontechnical users • Chat mode to plan before act • Strong Supabase integration for authentication and databases • 3rd Party integrations like Stripe, Resend or OpenAI • Optimized for team collaboration with GitHub- first workflows Tool Spotlight: Lovable.dev How AI Coding Tools Boost Your Productivity Code smarter, not harder
7. How AI Coding Tools Boost Your Productivity Code smarter, not harder
8. System-level AI assistance with deep IDE integration • Integrated as VS Code plugin • On-device processing • Optimizes cost efficiency with model switching (e.g., o3 for planning, Claude 4 Sonnet for coding) • Offers Plan/Act modes for controlled AI execution • Provides a checkpoint system beyond Git • Memory-Bank for progress tracking • MCP support Trade-offs: Requires cost management and is unable to provide code completion Tool Spotlight: Cline How AI Coding Tools Boost Your Productivity Code smarter, not harder
9. How AI Coding Tools Boost Your Productivity Code smarter, not harder
10. A Practical Guide to Smarter AI-Assisted Development ▪ Define your goals & tech stack – Set clear objectives and choose the right tools with the help of chat tools like Chat GPT ▪ Start with AI prototyping – v0, Bolt.new, or Lovable.dev for rapid PoC’s ▪ Optimize with coding tools – Cline, Cursor, or Copilot for production ready code ▪ Iterative development – Let the tools refactor the code until it fits your needs ▪ Plan before execution – Use reasoning models for architecture and structured tasks ▪ Balance AI & human oversight – Optimize costs, automate testing, and ensure quality control AI Coding Best Practices Cheat Sheet How AI Coding Tools Boost Your Productivity Code smarter, not harder
11. Q&A Daniel Sogl @sogldaniel daniel.sogl@thinktecture.com