AI Code Generation Still Drives Developer Interest in AI

This article was originally published in October 2024. It has been refreshed with new information.

It’s no secret that AI remains at the top of buyers' minds in the B2B tech space. According to G2’s State of Software Report, AI-related categories saw the largest year-on-year (YoY) growth of all markets that G2 covers. 

Two years on, that hasn't changed. AI Code Generation has gone from one of the fastest-growing AI categories to one of the most packed: G2 now tracks 157 listed products in the category, and the leaderboard has shifted from simple autocomplete tools toward agentic platforms that write, review, and ship code with far less manual oversight.

G2 predicted the formal adoption of AI in development back in 2023, but AI Code Generation, in particular, has taken off rapidly in this space. 

These tools draw from large data sets to generate code that adheres to best coding practices. Developers use AI code generation software to limit the effort and time it takes to complete repetitive coding tasks that would otherwise be done manually. 

AI code can revolutionize coding

By automating manual coding tasks, development teams can expedite the entire software development process. Instead of relying on developers to code every step of the process, simpler coding tasks can be automated. It speeds up the entire process of development, allowing developers to aid with more specific coding tasks and challenges. 

This doesn’t benefit just the project - it’s a win for developers, too. They save time and energy that would have been spent on basic, time-consuming, manual tasks to refocus on high-level, complex challenges that the coding tool might not yet be able to solve. 

AI code generation: The category today, by the numbers

G2's AI Code Generation category has grown to 157 listed products, spanning general-purpose assistants (ChatGPT, Claude, Gemini), IDE-native copilots (GitHub Copilot, Tabnine, Amazon Q Developer, Gemini Code Assist), and a new wave of agentic coding platforms (Cursor, Replit, Windsurf, Amp) that go well beyond autocomplete.

The table below reflects current G2 data for the most-reviewed products in the category:

Source: G2 Grid, pulled live September 30, 2026.

From Autocomplete to Agents

The original framing of this category - automating repetitive, manual coding tasks - still holds, but the tools have moved well past simple line-and-function suggestions. Cursor, for example,  beyond next-action code completion, now offers cloud-based agents for longer-running tasks, automated PR review with inline threads and commit history, always-on security review agents that scan for vulnerabilities and auth regressions, and a programmable SDK for building custom agents on the same runtime that powers the IDE. Replit has followed a similar arc, letting non-technical users turn natural-language prompts into full, deployed applications rather than just snippets.

The increase in the number of products represents the potential the code generation market holds. Companies are racing to get involved in what could become a major market. The code generation products that rise to the top will not only find financial success but could lead a revolution in the future of software development. 

AI code generation and the future of development

AI code generation represents the future of AI in the development space. As AI adoption continues to rise in development, automating repetitive tasks is only the beginning. Two years later, and with 157 products now competing in the category and new entrants continuing to launch, AI Code Generation looks less like an emerging category and more like a maturing, consolidating one - a market worth watching closely heading into 2027. 

Check out our latest study on AI Code Generation 2026: What 3,000+ G2 Reviews Reveal.