DaorMaker

The Future of Programming in Product Development

Future of programming in product development

Programming at a Crossroads

The landscape of product development is undergoing a profound transformation. For decades, creating digital products required extensive programming knowledge and specialized skills that were accessible to a relatively small population of developers. But today, we stand at a fascinating crossroads where emerging technologies and methodologies are democratizing product creation while simultaneously elevating the potential of what skilled programmers can build.

As the founder of DaorMaker, I've had the privilege of watching these changes unfold within our community of Polish developers and product creators. The conversations happening in our workshops and meetups reflect both excitement and uncertainty about what these shifts mean for the future of programming in product development.

In this post, we'll explore the key trends reshaping how products are built and what they mean for developers who want to remain at the forefront of product creation.

AI-Assisted Development: Collaboration, Not Replacement

The most immediately transformative technology affecting product development is, without question, AI-assisted programming. Tools like GitHub Copilot, Amazon CodeWhisperer, and various large language model implementations are already changing how code gets written.

Current Impact

In a recent survey of DaorMaker community members, 72% reported using AI coding assistants regularly, with the average developer estimating a 30-40% increase in productivity for certain types of tasks. The impact is particularly noticeable in areas like:

  • Generating boilerplate code
  • Implementing standard patterns and algorithms
  • Writing tests
  • Documentation generation
  • Bug identification and fixing

Tomasz, a backend developer from Kraków, shares: "For routine tasks, Copilot acts like an extremely knowledgeable pair programmer who never gets tired. I spend less time on Stack Overflow and more time thinking about higher-level architecture and user needs."

Future Direction

The trajectory of AI-assisted development points toward increasingly sophisticated collaboration between humans and machines. We're moving toward AI tools that can:

  • Understand project context at a deeper level
  • Generate entire feature implementations from high-level descriptions
  • Automatically refactor and optimize code
  • Identify potential security vulnerabilities and performance issues
  • Generate and run appropriate tests

Importantly, these tools are proving to be collaborators rather than replacements for skilled developers. They handle routine aspects of coding, allowing programmers to focus on higher-value activities like system design, user experience considerations, and business logic that requires domain knowledge.

"AI won't replace developers, but developers who use AI effectively will replace those who don't. The competitive advantage comes from knowing how to prompt, verify, and integrate AI-generated code within the larger context of product development."

— Anna Nowak, AI Integration Specialist

Low-Code and No-Code: The Democratization of Product Creation

While AI is transforming how traditional coding happens, low-code and no-code platforms are expanding who can build digital products in the first place.

Current Landscape

The ecosystem of tools enabling product creation with minimal coding continues to mature:

  • Application builders: Tools like Bubble, Webflow, and Adalo allow the creation of sophisticated web and mobile applications
  • Automation platforms: Zapier, Make (formerly Integromat), and n8n connect various services without coding
  • Internal tool builders: Retool, Appsmith, and Tooljet enable rapid development of business applications
  • AI-powered interfaces: Emerging tools that generate functional applications from natural language descriptions

These platforms are enabling a new category of "citizen developers" – professionals who create applications to solve business needs despite having limited formal programming education.

The Developer's Evolving Role

Rather than making traditional developers obsolete, these platforms are reshaping their role in the ecosystem:

  1. Platform extension: Many developers now create plugins, components, and integrations for no-code platforms
  2. Complex logic implementation: Custom code remains essential for sophisticated business logic and high-performance requirements
  3. System architecture: Experienced developers design the overall system architecture, even when components are built with no-code tools
  4. Integration expertise: Connecting no-code solutions with existing systems often requires programming knowledge

Karolina, who transitioned from frontend development to creating Bubble plugins, shares: "I'm writing less code day-to-day but my programming knowledge is more valuable than ever. Understanding data structures, API design, and system architecture helps me create components that empower thousands of no-code builders."

Future Convergence

The lines between traditional development, low-code, and no-code are blurring. We're seeing the emergence of "augmented development" approaches that combine:

  • Visual development for UI and workflow
  • Traditional coding for custom logic and performance-critical components
  • AI assistance for both visual and code-based development

This convergence suggests a future where development environments are more flexible, allowing teams to use the most appropriate approach for each component of their product.

Serverless and Edge Computing: Transforming Backend Development

The infrastructure powering digital products is undergoing its own revolution, with significant implications for how developers build and deploy applications.

The Serverless Paradigm

Serverless computing has evolved from a niche approach to a mainstream architecture pattern. This model, where developers write individual functions that run in response to events without managing servers, is changing backend development in several ways:

  • Reducing operational complexity and maintenance
  • Enabling precise scaling based on actual usage
  • Allowing granular cost optimization
  • Supporting rapid iteration and deployment

Piotr, who built a document processing service on AWS Lambda, notes: "Serverless changed our entire development rhythm. We went from quarterly releases with our monolithic application to deploying individual functions daily or even hourly. The speed at which we can respond to user needs has completely transformed our product development process."

The Rise of Edge Computing

Complementing serverless is the growth of edge computing – running code closer to users at the network edge rather than in centralized data centers. Platforms like Cloudflare Workers and Vercel Edge Functions are enabling developers to:

  • Reduce latency for global audiences
  • Implement sophisticated caching strategies
  • Process data closer to its source
  • Create more responsive user experiences

Implications for Development

These architectural shifts are changing how developers approach product building:

  1. Function-oriented programming: Breaking applications into discrete, stateless functions
  2. Event-driven architectures: Designing systems around events rather than synchronous requests
  3. Micro-frontends: Applying similar componentized thinking to frontend development
  4. Infrastructure as code: Managing deployment configurations through version-controlled code

"The most exciting aspect of serverless and edge computing is how they enable small teams to build globally scalable products. Five years ago, the infrastructure expertise required would have been prohibitive for most startups. Today, two developers can launch a product that serves millions of users from day one."

— Michał Dąbrowski, Cloud Architecture Specialist

WebAssembly and Cross-Platform Development

Another significant trend reshaping product development is the growing maturity of technologies that enable true cross-platform applications with near-native performance.

WebAssembly Expands Possibilities

WebAssembly (WASM) has evolved from a promising experiment to a production-ready technology that allows code written in languages like Rust, C++, and Go to run at near-native speed in browsers. This is enabling new categories of web applications that were previously impractical:

  • Complex data processing and visualization tools
  • Browser-based video and audio editing
  • High-performance games and simulations
  • Sophisticated productivity applications

Jan, whose team rebuilt their CAD visualization tool with Rust and WASM, shares: "The performance difference was dramatic. Operations that took seconds in our JavaScript implementation now happen in milliseconds. But more importantly, we can share core logic between our web, desktop, and mobile applications."

Truly Universal Apps

The combination of WebAssembly with frameworks like React Native, Flutter, and Tauri is making the long-promised "write once, run anywhere" approach increasingly viable. Modern cross-platform development allows teams to:

  • Share business logic across web, mobile, and desktop
  • Maintain consistent user experiences across platforms
  • Accelerate development and feature parity
  • Optimize platform-specific components when needed

Future Implications

As these technologies mature, we're seeing a shift in how teams approach product development:

  1. Platform-agnostic architecture: Designing systems with cross-platform compatibility in mind from the start
  2. Performance-critical components in compiled languages: Using Rust, Go, or other compiled languages for performance-sensitive logic
  3. Specialized vs. general-purpose skills: Teams balancing platform specialists with developers who work across boundaries

Developer Experience (DX) as a Competitive Advantage

As the technical landscape grows more complex, the tools and workflows that enhance developer productivity are becoming increasingly important. Companies that create superior developer experiences are gaining significant advantages in product development speed and quality.

Key Elements of Modern DX

The most innovative product teams are investing in several aspects of developer experience:

  • Integrated development environments: Tools like GitHub Codespaces and GitPod that provide consistent, cloud-based development environments
  • Automated testing and deployment: Sophisticated CI/CD pipelines that provide rapid feedback and deployment confidence
  • Developer portals: Internal platforms that simplify access to tools, documentation, and services
  • Observability and debugging: Advanced monitoring and troubleshooting capabilities integrated throughout the development process

Magdalena, CTO of a rapidly-growing SaaS company, emphasizes: "We invested heavily in developer experience before expanding our team. The result was that our velocity didn't decrease as we grew from 5 to 25 developers – it actually increased. New team members become productive in days rather than weeks."

Internal Developer Platforms

A particularly impactful trend is the rise of internal developer platforms (IDPs) – custom tooling that abstracts away infrastructure complexity and standardizes workflows. These platforms enable:

  • Self-service access to development environments and resources
  • Standardized deployment processes across multiple services
  • Built-in best practices for security and compliance
  • Reduced cognitive load for developers

"The best internal platforms don't just make existing processes easier – they unlock entirely new ways of working. When deploying a new service takes minutes instead of days, teams experiment more, iterate faster, and ultimately build better products."

— Adam Kowalczyk, Platform Engineering Lead

The Human Element: Soft Skills and Collaboration

Despite all the technological advances, successful product development remains fundamentally human. In fact, as routine coding tasks become increasingly automated, the human aspects of development are becoming more critical.

Critical Skills Beyond Coding

The most valuable developers in product teams now combine technical knowledge with capabilities like:

  • User empathy: Deeply understanding the problems users face
  • Cross-functional collaboration: Working effectively with designers, product managers, and other stakeholders
  • Communication: Clearly explaining technical concepts to non-technical team members
  • Systems thinking: Understanding how individual components interact within complex systems
  • Business context: Recognizing how technical decisions impact business outcomes

Agnieszka, who transitioned from backend development to product management, reflects: "The developers who create the most successful products aren't necessarily the ones with the deepest technical knowledge. They're the ones who can bridge technical and business worlds, who understand user psychology, and who communicate effectively across the organization."

New Collaboration Models

The way product teams work together is evolving as well:

  • Asynchronous collaboration: Distributed teams working effectively across time zones
  • Cross-functional product squads: Small, autonomous teams with end-to-end responsibility for specific features
  • Communities of practice: Knowledge sharing across organizational boundaries
  • Open source mindset: Applying open source collaboration principles within organizations

Conclusion: The Developer's Evolving Role

As we look at these converging trends, it's clear that the role of developers in product creation is not diminishing – it's evolving. The future belongs to programmers who can:

  • Leverage AI and automation to increase their productivity
  • Work effectively with low-code/no-code platforms when appropriate
  • Understand distributed systems architecture
  • Build with cross-platform approaches in mind
  • Create excellent developer experiences for themselves and their teams
  • Balance technical excellence with user empathy and business understanding

For those willing to embrace these changes, the opportunities have never been greater. The combination of powerful new tools, platforms, and methodologies is enabling developers to create products that would have been nearly impossible just a few years ago.

At DaorMaker, we're excited to help Polish developers navigate this evolving landscape. Through our workshops, mentorship programs, and community events, we're preparing the next generation of product creators to thrive in this new era of development.

What trends are you most excited about in product development? How are you adapting your skills and approaches to these changes? Share your thoughts in the comments below!

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Comment author

Julia Majewska

April 6, 2024 at 11:05 am

I've been using AI coding assistants for about 6 months now, and the productivity boost is real. What I find most interesting is how it's changing what I focus on - I spend much more time thinking about architecture and user experience than debugging syntax issues. I wonder if university CS programs are adapting to this new reality where the "how to code" part is becoming less important than "what to build and why".

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