Early tools like Yahoo Pipes and YQL enabled data mashups but ultimately failed due to a lack of monetization for their APIs.
AI tools like GitHub Copilot can automate the boring parts of coding, freeing up developers to focus on more important tasks like maintenance.
AI agents can introduce security vulnerabilities like slot squatting, where they request malicious packages that don't exist until created by attackers.
As coding becomes more automated, human skills like communication, collaboration, and handling pull requests become critical for career success.
LLMs and platforms like Stack Overflow can amplify outdated solutions, highlighting the need to focus on the 'why' behind code, not just the 'how'.
Statements that define a 'professional developer' create exclusive environments and should be avoided to foster a more inclusive industry.
39:11Thomas Dohmke
31:39Rainer Stropek
28:09Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
28:27PJ Hagerty
26:52Thomas Dohmke & Demetris Cheatham
35:31Thomas Dohmke
47:35Laurie Voss, Rey Bango, Hannah Foxwell, Rizel Scarlett & Thomas Steiner
41:06Pascal Reddig, TJ Griffiths, Fabian Schmidt, Oliver Winzenried & Matthias Niehoff & Mirko Ross
Jobs that call for the skills explored in this talk.
Deyan7 GmbH & Co. KG
webLyzard
Vienna, Austria