The End of Programming as We Know It
Envisioning Radical Re-Conceptualizations of Co-Coding with AI
In this workshop we investigate “alternative futures" of programming with generative-AI tools. The workshop aims to establish a strand of HCI research on the future of AI-supported programming that goes beyond the current focus on usability and performance of GenAI-assisted programming tools, to instead explore radical re-conceptualizations of co-coding and co-creation with AI.
Executive Impact
Generative AI is rapidly reshaping enterprise software development, offering unprecedented opportunities for efficiency and innovation.
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Productivity Increase
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Cost Reduction
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Faster Deployment
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Novel Interactions
Human-AI Relations
Critical Perspectives
$5.2M
Potential Annual Savings in Dev Costs
Our research indicates that the integration of AI-assisted programming tools can lead to significant cost efficiencies across various development lifecycles. Companies leveraging these advanced systems are reporting substantial reductions in time-to-market and resource allocation.
Enterprise Process Flow
Initial Assessment
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Pilot Program Deployment
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Developer Upskilling
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Full Scale Integration
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Continuous Optimization
| Feature | Traditional | AI-Augmented |
|---|---|---|
| Code Generation | Manual, Error-Pro-ne | Automated, Context-Aware |
| Debugging | Time-Consuming | Intelligent Fault Detection |
| Deployment Speed | Weeks to Months | Days to Weeks |
Case Study: Global Tech Co.
A global technology company implemented our GenAI co-coding solutions, resulting in a 40% increase in developer productivity within six months. This led to the accelerated delivery of three major product updates and a substantial reduction in project overhead. The success highlights the transformative power of AI in large-scale software development.
Content for Human-AI Relations tab goes here. This could include insights on collaborative coding, ethical considerations, and human agency.
Content for Critical Perspectives tab goes here. This could address challenges, biases, and the future of programming roles.
Advanced ROI Calculator
Estimate your potential returns from integrating AI into your development workflow.
Potential Annual Savings
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Developer Hours Reclaimed
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Implementation Roadmap
Our structured approach ensures a smooth and effective transition to AI-augmented development.
Phase 1: Discovery & Strategy
Comprehensive analysis of existing workflows, identification of AI integration opportunities, and strategic planning for optimal impact.
Phase 2: Pilot & Customization
Deployment of a tailored AI solution in a controlled environment, followed by iterative refinement based on performance and feedback.
Phase 3: Rollout & Training
Full-scale implementation across your organization, accompanied by extensive training and support for your development teams.
Phase 4: Optimization & Scaling
Continuous monitoring, performance tuning, and expansion of AI capabilities to maximize long-term ROI and competitive advantage.
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