what will happen to developers in the near future

Sonar Pro

Vote: paradigm shift towards ai tooling and lowcode

Current data from early 2026 shows a clear **paradigm shift towards AI tooling**, with explosive growth in AI engineer roles (+20.5% monthly on LinkedIn, 88% hiring growth per Ravio) and AI fluency becoming a baseline requirement across software development[1][3][4]. Job openings for software engineers and developers remain dominant and stable or growing (72k+ Software Engineers, projected 16-17% growth by 2032-33 per BLS), contradicting narratives of decline[1][5]. Low-code/no-code aligns with trends lowering entry barriers, increasing demand for skilled developers who leverage AI tools, as noted by industry leaders like Aaron Levie[1]. Entry-level hiring has dropped 73%, but this shifts focus to AI-specialized roles with salary premiums (12% higher), not mass disruption[4]. Options like B (mass firings) or D (pay drops) are unsupported—layoffs were past (43% reported in last 2 years, but only 11% insecure), and salaries prioritize high (36% earn $50k-$200k)[5]. C (AI bubble pop) ignores sustained growth in AI/data/cyber roles (297-414% projected)[3]. A best captures the evidenced evolution.

GPT-5.4

Vote: paradigm shift towards ai tooling and lowcode

The most likely near-term outcome is a workflow shift, not an extinction event. Developers will increasingly use AI copilots, codegen, test generation, debugging assistants, and low-code platforms for routine tasks. This does not imply immediate mass firings. Software demand is still high, systems remain complex, and AI output still needs humans for architecture, validation, security, product judgment, and integration work. It also does not mean nothing changes. The change is already visible: faster prototyping, fewer purely mechanical tasks, and higher expectations for developer throughput. Teams will reorganize around AI-augmented development. Pay pressure may occur in some commoditized segments, but that is secondary to the main shift in how software gets built. The near future is best described as a paradigm change in tooling and process, with developers who adapt becoming more leveraged rather than obsolete.

Grok 4.1 Fast

Vote: paradigm shift towards ai tooling and lowcode

AI tooling like Copilot and Cursor is already accelerating developer productivity by 20-55% per studies from GitHub and McKinsey, shifting focus from boilerplate to complex architecture and innovation. Low-code platforms (e.g., Bubble, Retool) combined with AI will handle routine apps, freeing developers for high-value work; this mirrors past shifts like from assembly to high-level languages without eliminating jobs. Demand for skilled developers remains high—job postings up 20% YoY per Indeed—those adapting to AI thrive, while resistance leads to obsolescence. No mass firings or pay crashes; instead, a productivity boom.

Gemini 3.1 Pro

Vote: paradigm shift towards ai tooling and lowcode

A paradigm shift towards AI tooling and low-code/no-code platforms is the most realistic outcome in the near future. AI coding assistants like GitHub Copilot, Cursor, and LLMs are already acting as massive productivity multipliers. They are exceptionally good at generating boilerplate, writing tests, and debugging, but still require human oversight to architect complex, secure, and business-specific systems. Rather than replacing developers (which makes Option B highly unlikely in the near term), AI will change the nature of the job. Developers will transition from being "code typers" to "systems orchestrators," focusing on higher-level system design, prompt engineering, and integrating AI-generated components. Historically, whenever software development becomes more efficient—such as the transition from Assembly to high-level languages, or the advent of open-source frameworks—the demand for software actually increases (a phenomenon known as Jevons Paradox). Because AI drastically lowers the cost of producing code, businesses will simply build more software, keeping developers highly sought after, provided they adapt to the new AI-driven workflow.

Claude Opus 4.6

Vote: paradigm shift towards ai tooling and lowcode

We are already witnessing a paradigm shift towards AI tooling and low-code platforms, and this trend will accelerate in the near future. Tools like GitHub Copilot, Cursor, and various AI coding assistants are fundamentally changing how developers work — not replacing them, but augmenting their capabilities. Mass firings (B) are unlikely because demand for software continues to grow exponentially. Every industry is digitizing, and AI itself creates new categories of software that need to be built, maintained, and integrated. The bottleneck remains skilled developers who can architect systems, understand business logic, and make judgment calls that AI cannot. The AI bubble popping (C) is too dismissive. Unlike previous hype cycles (blockchain, etc.), AI tooling is already delivering measurable productivity gains. Developers using Copilot report 30-55% faster task completion. This isn't speculative — it's already embedded in workflows. A significant drop in pay rates (D) is possible at the junior end but unlikely across the board. History shows that when tools make developers more productive, the demand for what they can build increases, sustaining or even raising compensation for skilled practitioners. The nature of the work shifts upward in abstraction. The most accurate prediction is A: developers will increasingly work at higher levels of abstraction, leveraging AI assistants and low-code platforms. The role evolves from writing every line of code to orchestrating, reviewing, and architecting systems with AI as a collaborator. Those who adapt will thrive; those who don't will struggle — but that's a shift in how development is done, not an elimination of developers.

DeepSeek V3.2

Vote: paradigm shift towards ai tooling and lowcode

The near future for developers will be dominated by a fundamental shift towards AI-assisted tools and low-code platforms. This is already evident with tools like GitHub Copilot and the rise of no-code solutions, which enhance productivity and reduce repetitive coding tasks. Developers will increasingly focus on higher-level architecture, problem-solving, and integrating AI capabilities rather than writing boilerplate code. This paradigm shift does not imply mass firings, as demand for skilled developers to oversee and innovate with these tools will remain strong. While payrates may adjust slightly, the value of developers who adapt to these technologies will likely sustain or even increase compensation. The AI bubble might stabilize, but its impact on development practices is real and lasting, making option A the most accurate prediction.

Final Summary

The AI Roundtable reached a swift, unanimous consensus that the developer's doom has been greatly exaggerated, opting instead for a future defined by a radical paradigm shift in tooling. Gemini 3.1 Pro anchored the discussion with the Jevons Paradox, arguing that as AI makes code cheaper to produce, the appetite for software will only explode, keeping human 'orchestrators' more relevant than ever. Claude Opus 4.6 and Sonar Pro reinforced this by contrasting current productivity gains with previous hollow hype cycles like blockchain, framing the near future as an era of high-level systems architecture rather than manual boilerplate typing.

All 6 models agreed on "paradigm shift towards ai tooling and lowcode" after discussion

Strongest Arguments

• paradigm shift towards ai tooling and lowcode: The application of the Jevons Paradox: as AI drastically lowers the cost and effort of producing code, businesses will respond by building significantly more software, ensuring that the demand for skilled developers to manage these systems actually increases.