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WeAreDevelopers LIVE • May 22, 2024

From Syntax to Singularity: AI’s Impact on Developer Roles

Anna Fritsch-Weninger

Generative AI isn't replacing developers; it's functioning as a gifted but inconsistent junior programmer. Discover how to accelerate workflows while catching dangerous code hallucinations before they hit production.

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#1 about 3 min

Establishing context and limitations for artificial intelligence platforms

Examining how model access, vendor constraints, and system updates affect initial development workflows.

#2 about 3 min

Assessing the threat of automated replacement for developers

Rapid application generation demonstrates the shifting responsibilities of modern software engineers.

#3 about 3 min

Understanding technological singularity within software engineering contexts

Defining the conceptual boundary where artificial intelligence potentially exceeds programming comprehension and control.

#4 about 5 min

Examining how data quality and bias shape model outputs

Training data sourcing, ethical restrictions, and historical bias heavily heavily dictate the quality of generated code.

#5 about 5 min

Building custom workflow automations using dedicated copilot tools

Generating complete automation integrations directly through conversational prompting reduces manual implementation overhead.

#6 about 7 min

Comparing general platforms against dedicated programming assistants

General language models and specialized copilots exhibit differing capabilities when interpreting technical framework documentation.

#7 about 5 min

Identifying data anomalies and generating formatted data outputs

Leveraging models to detect dataset inconsistencies allows for the immediate generation of nested JSON architectures.

#8 about 3 min

Navigating undocumented endpoints and unknown application programming interfaces

Targeted prompts help discover and validate unsupported interface actions without relying on official reference material.

#9 about 3 min

Solving complex configuration formatting and syntax limitation challenges

Collaborating with code assistants to correctly structure configuration parameters successfully overcomes strict parser constraints.

#10 about 3 min

Evaluating generated scripts for inherent application security vulnerabilities

Observing how various models enforce ethical limitations reveals their willingness to inject documented authentication bypasses.

#11 about 3 min

Mitigating hallucinated documentation and fabricated application framework functionality

Verifying outputs against specific requested parameter filters prevents the deployment of non-existent REST operations.

#12 about 5 min

Summarizing current capabilities and limitations of development models

Code generation succeeds in syntax matching and predictions while struggling significantly with complex business logic.

#13 about 8 min

Formulating career strategies for junior and senior engineers

Adapting cross-team culture and embracing hybrid responsibilities enables software departments to safely adopt assisted coding.

#14 about 8 min

Addressing developer adoption and future software security risks

Overcoming fundamental knowledge gaps and creative plateaus demands strict security evaluation for dynamically output routines.

Matching moments

5:16 min

Motivations for adopting AI to enhance developer productivity

1:10 min

The future role of developers orchestrating artificial intelligence

Dishu Bagga Dishu Bagga · Europe 2026 Virtual

2:44 min

Shifting perspectives from artificial to automated intelligence

Perf + AI

2:33 min

Navigating the uncomfortable truths of automated software development

Ryan J. Salva Ryan J. Salva · World Congress 2025

11:41 min

Generative artificial intelligence and programming fundamentals

Chris Heilmann +2 · LIVE

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 25, 2026 · 14:10–14:40

Stage 1

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

September 23, 2026 · 13:40–14:10

Stage 2

Building an AI-Native Development Workflow

Vanessa Minik

Senior Service Delivery Engineer, GitHub

Vanessa Minik
Open session

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Mainstage

Building AI Products vs. Building With AI

Aparna Dhinakaran, Rukmini Reddy, Tamar Bercovici

Aparna Dhinakaran
Rukmini Reddy
Tamar Bercovici
Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Mainstage

Our Brains in the AI Era

Cassidy Williams

Senior Director of Developer Advocacy, GitHub

Cassidy Williams
Open session

World Congress 2026 North America

September 25, 2026 · 12:55–13:25

Outdoor Stage

Building the AI Era Through Developer Communities: A Competitive Advantage for Engineers & Teams

John Komarnicki

National Executive Advisor at Code & Coffee | Engineering & AI Community Leader

John Komarnicki
Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 6

The Reality of AI Adoption in Enterprises

Priyanka Vergadia

Cloud and AI expert @Microsoft, previously lead Devrel @Google

Priyanka Vergadia

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