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World Congress 2023 • Nov 10, 2023

From Monolith Tinkering to Modern Software Development

Lars Gentsch

AI generates functional code in minutes, but debugging its subtle hallucinations can take hours. Discover how to transition from monolith tinkering to securing the modern software supply chain.

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#1 about 5 min

The impact of artificial intelligence on developer job security

Developers must evolve beyond purely coding as intelligent systems automate repetitive programming tasks using public data.

#2 about 4 min

Shifting developer focus from coding to debugging and architecture

Using automation for fast codebase generation increases the time spent on complex troubleshooting and architectural design.

#3 about 3 min

Adapting to increased development speed and changing market value

Intelligent code generation accelerates implementation speeds but introduces new complexities and alters the economic value of engineers.

#4 about 5 min

Navigating new cybersecurity challenges in artificial intelligence applications

Treating external intelligence as a black box introduces significant security vulnerabilities that require dedicated exploratory testing strategies.

#5 about 3 min

Understanding artificial intelligence as a supplementary developer tool

Building secure systems requires understanding how statistical models operate rather than relying on false promises of automated protection.

#6 about 5 min

Mitigating risks of data poisoning and system hallucinations

Blindly trusting generated code introduces subtle bugs and legal licensing liabilities stemming from self-trained data models.

#7 about 5 min

Establishing zero trust concepts and regulatory frameworks for models

Regulating intelligence platforms requires independent verification of training data and applying comprehensive zero trust architectures.

#8 about 6 min

Controlling system complexity with specialized artificial intelligence models

Utilizing scoped, task-specific modules prevents uncontrollable complexity while ensuring compliance with stringent medical and governmental regulations.

#9 about 4 min

Measuring trust and adapting computer science education for algorithms

The rapid evolution of machine learning outpaces traditional university curriculums and necessitates ongoing research into statistical reliability.

#10 about 5 min

Cultivating critical thinking and preventing automated supply chain attacks

Developing advanced analytical skills is essential to identify logical hallucinations and prevent malicious injections within automated workflows.

#11 about 3 min

Embracing technological shifts while maintaining strict system security standards

Integrating intelligent automation into commercial operations offers massive productivity gains if coupled with rigorous architectural validation.

Matching moments

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

5:18 min

Addressing psychological safety and ethical risks of AI adoption

Vera Slavnić Vera Slavnić · Europe 2026 Virtual

5:16 min

Motivations for adopting AI to enhance developer productivity

11:41 min

Generative artificial intelligence and programming fundamentals

Chris Heilmann +2 · LIVE

2:05 min

The impact and risks of AI generated code

Chris Heilmann · LIVE

3:45 min

Balancing AI tool mandates with developer trust and productivity

Chris Heilmann +2 · LIVE

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