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AI-Generated Code Adoption Trends
Comparison of AI-generated code usage across major technology companies.
Primary Sources
OpenAI's President Says AI Has Gone From Writing 20% to '80% of Your ...
Greg Brockman says that AI is writing most code at companies today. Bloomberg/Getty Images 2026-05-01T05:54:13.010Z AI tools can now generate up to 80% of code, said OpenAI's president. Greg Brockman said that AI has become more than a small supporting tool for software engineers. Tech leaders predict that AI will soon write a majority of their company's code. AI coding tools have rapidly advanced in recent months, says OpenAI's president. At a Sequoia Capital talk uploaded Thursday, Greg Brockman said that AI has become more than just a supporting tool for software engineers."If you look even over the course of December, we went from these agentic coding tools writing 20% of your code to writing 80% of your code," Brockman said. "Which means they go from being kind of a sideshow to being the main thing that you're doing."Brockman, who cofounded the AI company in 2015, said he would advise founders to "lean in" and embrace AI tools because they're making rapid strides.For example, he said, Codex — OpenAI's code-generation platform — has recently evolved from a tool primarily for software engineers to one that can support "anyone who's doing work with a computer." Still, Brockman said OpenAI ensures that a human is responsible for all code that is merged."That thoughtfulness of not just saying 'oh just blindly use' this or 'we don't want to use this at all.' I think neither extreme is quite right," he said about AI-generated code.AI's rapidly growing role in writing codeBrockman is part of a group of tech leaders touting AI's ability to generate a large chunk of a company's code.Last month, Google CEO Sundar Pichai said that 75% of new code created inside the company is now generated by AI and reviewed by human engineers.That figure has risen rapidly in recent years, from 25% in 2024 to 50% last year.Meta is looking to make headway in this area as well.In March, Business Insider reported that Meta expected 65% of engineers in its creation organization — responsible for building and maintaining core creative experiences — to write more than 75% of their committed code using AI.Anthropic CEO Dario Amodei has also predicted how much code AI will generate."I think we will be there in three to six months, where AI is writing 90% of the code. And then, in 12 months, we may be in a world where AI is writing essentially all of the code," Amodei said at a conference last year.In a blog post earlier this year, Amodei wrote: "Because AI is now writing much of th...
AI Coding Agent Adoption in 2026: What the Survey Data Actually Shows ...
Three independent surveys published in April 2026 — the JetBrains AI Pulse (10,000+ developers), Sonar’s State of Code (developer survey + telemetry), and the Stanford AI Index (meta-analysis of the field) — collectively paint the most complete picture we have had of how developers are actually using AI coding tools at work. The headline number is dramatic: 90% of developers now regularly use at least one AI tool for coding1. But the detail beneath that headline matters far more, particularly for teams evaluating or already using Codex CLI. This article synthesises the key findings from all three surveys, maps them onto the competitive landscape, and extracts actionable guidance for Codex CLI practitioners. The Three Surveys at a Glance graph TD subgraph JetBrains["JetBrains AI PulseJanuary 2026"] JB1["10,000+ developers"] JB2["8 languages"] JB3["Raking-weighted"] end subgraph Sonar["Sonar State of CodeJanuary 2026"] S1["Developer survey"] S2["Telemetry data"] S3["AI verification focus"] end subgraph Stanford["Stanford AI IndexApril 2026"] ST1["Global meta-analysis"] ST2["Benchmark tracking"] ST3["Economic impact"] end JetBrains --> A[Combined Picture] Sonar --> A Stanford --> A A --> B["90% using AI tools"] A --> C["42% of committed code is AI-generated"] A --> D["Verification is the new bottleneck"] The JetBrains survey was deliberately debranded — no mention of AI in the promotional materials — and weighted using raking alignment against the 2025 Developer Ecosystem Survey along three dimensions: region, coding experience, and JetBrains product familiarity1. This makes it one of the more methodologically rigorous surveys available. The Adoption Landscape: Who Is Using What The JetBrains data breaks tool adoption into awareness and work usage, and the distinction matters. High awareness without proportional usage suggests a tool that developers know about but have not found compelling enough to integrate into daily work1. Tool Awareness Work Adoption Trajectory GitHub Copilot 76% 29% Plateaued ChatGPT (for coding) — 28% Stable Cursor 69% 18% Growth slowing Claude Code 57% 18% 6× growth in 9 months JetBrains AI Assistant — 9% Steady Google Antigravity — 6% Rapid early adoption Junie (JetBrains) — 5% New entrant Codex (CLI + App) 27% 3% Pre-desktop-launch The standout narrative is Claude Code’s trajectory: from roughly 3% adoption in April–June 2025 to 18% by January 2026, reaching 24% in the US and Canada1. Its satisfaction metrics are exc...
OpenAI's Symphony spec pushes coding agents from prompts to ...
Symphony offers a glimpse of how enterprises may move from using AI as a coding assistant to managing it as part of the software delivery pipeline.
OpenAI Codex Tutorial Boosts Dev Productivity | AI News Detail
OpenAI's Codex, the AI-powered code generation model, has been making waves in the software development world since its introduction. In a recent tweet on April 29, 2026, Greg Brockman, co-founder and president of OpenAI, shared what he described as a great Codex tutorial, highlighting its potential for developers.
