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On 19 May 2025 GitHub opened a public preview of a Copilot coding agent: assign it an issue and it works in a GitHub Actions-powered cloud environment, changes code, runs the project's tests and linter, then hands back a pull request for review.
OpenAI's Codex, launched in May 2025 as a research preview, put a software-engineering agent inside ChatGPT: powered by codex-1 and trained with reinforcement learning, it ran each coding task in its own cloud sandbox.
On 25 April 2025 Baidu released ERNIE X1 Turbo, a reasoning model that Baidu said outperforms DeepSeek-R1 and DeepSeek-V3, priced at a quarter of DeepSeek-R1.
On 25 April 2025 Baidu launched ERNIE 4.5 Turbo, priced 80% below ERNIE 4.5, and announced full support for MCP, a protocol for connecting models to external tools.
On 14 April 2025 OpenAI released GPT-4.1, GPT-4.1 mini and GPT-4.1 nano in its API, with a context window of about 1 million tokens and a 54.6% score on SWE-bench Verified, while deprecating GPT-4.5 preview the same day .
On 4 April 2025 GitHub released Copilot agent mode and MCP support to all VS Code users, letting the assistant take actions, propose commands and call external tools, with a 56.0% pass rate reported on SWE-bench Verified.
On 11 March 2025 OpenAI released the Responses API and an open-source Agents SDK, merging the simplicity of Chat Completions with the tool use of the Assistants API and bundling web search, file search, computer use and tracing.
On 24 February 2025 Anthropic announced Claude 3.7 Sonnet, which it called the first hybrid reasoning model on the market, and Claude Code, a terminal-based coding agent in limited research preview.
ByteDance's AI coding tool TRAE launched in January 2025. By the end of 2025 it had 6 million registered users, and its open-source Trae Agent reported 75.20% on SWE-bench Verified, first on the leaderboard.
On 25 November 2024 Anthropic open-sourced the Model Context Protocol, a standard for connecting AI assistants to the systems where data lives. In December 2025 Anthropic donated it to the Agentic AI Foundation under the Linux Foundation.
On 22 October 2024 Anthropic announced an upgraded Claude 3.5 Sonnet, a new Claude 3.5 Haiku and computer use in public beta, which lets Claude operate a computer through screenshots, cursor movements and typing.
In September 2024 the Hugging Face Hub passed 1 million downloadable public models for the first time; by October 2025 it held more than 2 million.
On 5 September 2024 01.AI released the open Yi-Coder code models in 1.5B and 9B sizes. The 9B chat model scored 23.4% on LiveCodeBench, above every other model under 10 billion parameters, according to the company.
On 8 August 2024 Hugging Face announced it had acquired XetHub, a Seattle startup whose technology lets Git scale to terabyte-sized repositories by chunking and deduplicating data; Hugging Face planned to move the Hub off Git LFS onto a Xet-based backend.
An open platform first described in an arXiv preprint on 23 July 2024 under the name OpenDevin, letting AI agents write code, use a command line and browse the web in sandboxed environments; later accepted at ICLR 2025 and now presented as OpenHands.
On 18 July 2024 OpenAI released GPT-4o mini, a smaller, cheaper version of GPT-4o that replaced GPT-3.5 Turbo in ChatGPT and cost $0.15 per million input tokens.
On 29 May 2024 Mistral AI released Codestral, a 22-billion-parameter open-weight code model trained on more than 80 programming languages, with a 32K context window and weights under a non-production licence.
On 14 May 2024, at Google I/O, Google introduced Gemini 1.5 Flash, a lighter and faster model distilled from Gemini 1.5 Pro, alongside a 2-million-token context window for 1.5 Pro, Project Astra and Gemma 2.
On 29 April 2024 GitHub opened the technical preview of Copilot Workspace, a task-centric environment where a repository, issue or pull request becomes an editable plan and code, with the developer keeping control.
On 28 February 2024 BigCode and NVIDIA released StarCoder2 in 3B, 7B and 15B sizes. The new training set, The Stack v2, is 67.5 TB and is built from the Software Heritage archive.
On 21 February 2024 Google released Gemma, a family of open models in 2B and 7B sizes, with pre-trained and instruction-tuned versions, weights distributed through Kaggle and Hugging Face and terms permitting commercial use by organisations of any size.
