The Future of Software Development Is Software Developers
4 months ago
- #programming
- #AI
- #technology-cycles
- The author has 43 years of experience in computer programming and has witnessed multiple cycles of technology predicted to end the need for programmers.
- Technologies like WYSIWYG editors, No-Code platforms, and now Large Language Models (LLMs) have all been touted as the end of programming, but none have succeeded.
- The real challenge in programming is translating ambiguous human thinking into precise computational logic, a task that remains difficult regardless of the tools used.
- Previous technologies like Visual Basic and compilers reliably improved productivity, but LLMs often slow teams down and produce less reliable code.
- Natural languages are inherently ambiguous, making it unlikely that programming will ever be done purely through prompts in natural language.
- The demand for skilled programmers continues to outstrip supply, and current trends like over-hiring and economic factors are more responsible for job market fluctuations than AI.
- AI-generated code often requires human oversight to fix issues, as LLMs lack true understanding and reasoning capabilities.
- The author is skeptical about the long-term viability of hyper-scale LLMs due to their high costs and limitations.
- The future of software development may involve modest AI tools for prototyping and minor tasks, but human developers will remain essential for critical work.
- Employers are advised to invest in hiring and training skilled developers now to prepare for the eventual realization of AI's limitations.