S2.E9.2: Future of Coding: Working with AI Assistants

Introduction

As we transition into a more technologically advanced future, it is becoming increasingly common for developers to collaborate with AI assistants during the coding process. While many developers already incorporate AI tools into their work, this trend is poised to grow even further as technology evolves.

Currently, when developers engage with AI, the usual approach involves articulating a specific coding requirement in English, which in turn generates a corresponding code output. However, we may soon see a shift in this paradigm. Instead of primarily focusing on writing out problems or specifying solutions, developers may move directly from stating a problem to generating code.

In this evolving landscape, the role of business analysts (BAs) could fundamentally change. Traditionally, BAs work closely with Subject Matter Experts (SMEs) to explore potential solutions and identify the most suitable ones. However, as AI becomes a more central figure in the solution design process, BAs may find themselves in a new position. Rather than determining which solutions are best, they may focus on evaluating the solutions proposed by AI. This shift will necessitate a rigorous analysis of the AI-generated suggestions, assessing their relevance, accuracy, and alignment with project objectives.

Ultimately, the transition from problem statement to code—bypassing the conventional design process—may streamline development while also prompting a reassessment of roles within the tech industry. BAs, in particular, will need to develop skills in understanding and critiquing AI outputs to ensure that projects meet their strategic goals. As we embrace this new collaboration between human intellect and artificial intelligence, the coding landscape is set for significant transformation.

Keywords

• AI assistants
• Coding
• Developers
• Business analysts (BAs)
• Solution design
• Problem statement
• Subject Matter Experts (SMEs)
• Gap analysis

FAQ

Q1: What is the role of AI assistants in coding?
A1: AI assistants can help developers by generating code based on problem statements defined in natural language, thereby streamlining the coding process.

Q2: How might the role of business analysts change with AI adoption?
A2: Business analysts may transition from exploring solutions with SMEs to evaluating AI-generated solutions, focusing on their relevance and alignment with project goals.

Q3: Will developers still need to articulate problems in English, or will that change?
A3: There may be a shift toward directly generating code from the problem statement without extensive design documentation, although articulating problems will likely remain important for clarity.

Q4: What implications does AI in coding have for the future of software development?
A4: The incorporation of AI in software development can lead to faster coding processes and may require new skills and approaches from developers and analysts alike.