# GitHub Copilot adds MAI-Code-1.1-Flash and doubles down on customization Source: TechNewsList (https://technewslist.com) Canonical URL: https://technewslist.com/en/article/github-copilot-mai-code-11-flash-2026-08-26-morning Section: Software (https://technewslist.com/en/software) Author: TechNewsList Language: en Published: 2026-08-26T05:20:00.998+00:00 Updated: 2026-08-26T05:20:01.161821+00:00 > GitHub says MAI-Code-1.1-Flash is rolling out across Copilot experiences with better vision support, lower pricing, and a broader push toward app-level customization. ## TL;DR - GitHub announced MAI-Code-1.1-Flash for Copilot on August 11, 2026. - The model adds native vision support and improves coding, instruction following, and tool use. - GitHub says the price is 73% lower than MAI-Code-1-Flash for qualifying use. - A newer Copilot app release also adds a Customize tab for MCP servers, plugins, skills, and canvases. ## Key points - GitHub is selling model updates and product surface updates at the same time. - MAI-Code-1.1-Flash is aimed at everyday coding, not only premium workloads. - Vision support makes the model more useful for UI and image-based tasks. - The Customize tab shows GitHub wants Copilot to feel configurable, not fixed. - The product direction is toward a more modular, more personal coding workspace. # GitHub Copilot adds MAI-Code-1.1-Flash and doubles down on customization GitHub is widening Copilot in two directions at once. On August 11, 2026, it rolled out MAI-Code-1.1-Flash, a smaller coding model with native vision support and a lower price point. Then, on August 25, it pushed the Copilot app's Customize tab into general availability, bundling MCP servers, plugins, skills, and canvases into one place. The message is clear: Copilot is becoming more modular, and the model stack beneath it is getting cheaper. ![GitHub Copilot model picker showing MAI-Code-1.1-Flash.](https://github.blog/wp-content/uploads/2026/08/631442146-13497519-9912-4157-9b6d-cfda7c9b10f6.png?resize=2064%2C600) ## What happened GitHub says MAI-Code-1.1-Flash is now rolling out across Copilot experiences. The model adds native vision support, improves coding quality, instruction following, tool use, and overall performance, and comes with a 73% lower list price than MAI-Code-1-Flash. That is a meaningful shift for everyday coding workflows. Small model tiers only matter if they are good enough to stay on by default. GitHub is clearly trying to make this one of those models. The timing is also notable. Just two weeks later, the company announced that the Customize tab in the Copilot app is generally available. That feature gives users a single entry point for MCP servers, plugins, skills, and canvases, so the product now feels both more intelligent and more configurable. That combination is important because it shows GitHub is trying to improve the assistant and the workspace around it at the same time. Teams do not adopt a coding model in isolation. They adopt a workflow that stays stable while the assistant underneath it gets better. ## Why it matters The software market is moving from model shopping to workflow shopping. Developers do not just want a smart model. They want a model that fits inside the tools they already use, at a cost that makes sense for constant use. MAI-Code-1.1-Flash appears aimed at that exact sweet spot. Vision support makes it more useful for image-based UI work and mixed-media prompts. Lower pricing makes it easier to deploy on routine tasks. Better tool use makes it more useful when Copilot needs to do real work rather than just suggest code. The Customize tab matters for the same reason. A configurable Copilot feels less like a fixed assistant and more like a workspace. That is a stronger position in enterprise software, where teams want to shape the assistant around their own stack. It also gives GitHub a way to serve different kinds of users without fragmenting the product. Small teams want quick answers and low friction. Larger teams want controls, shared defaults, and a predictable tool surface. The app changes are aimed at both. ## Technical details GitHub says the model is available through auto model selection for Copilot Free and Student users, while paid tiers can also choose it manually across Copilot CLI, cloud agent, the app, Chat, VS Code, Visual Studio, GitHub Mobile, JetBrains, Eclipse, and Xcode. ![GitHub Copilot app screenshot from the Customize tab release.](https://github.blog/wp-content/uploads/2026/08/631442146-13497519-9912-4157-9b6d-cfda7c9b10f6.png?resize=2064%2C600) The Customize tab adds another layer of control. Users can browse featured customizations, discover MCP servers faster, and find the app components that fit their workflow. GitHub is clearly treating Copilot as an ecosystem rather than a single chat box. That ecosystem framing matters because it makes room for specialization. A platform engineer, a front-end engineer, and a team lead do not need the same Copilot surface. The more GitHub can let those groups tune the tool without making it feel inconsistent, the stronger the product gets. That combination of cheaper models and more visible controls is exactly what enterprise software buyers tend to want: predictability, relevance, and fewer mysterious black boxes. ## Market / industry impact GitHub is proving that the AI coding market is not only about frontier models. It is also about the product shell that makes those models useful every day. If Copilot can keep improving both the intelligence layer and the configuration layer, it becomes harder for competing tools to beat it with a single feature. The lower price point also matters competitively. When a coding assistant becomes cheap enough for broad use, adoption can spread across teams that would never budget for a premium model on every request. That is the bigger strategic signal. The market is starting to reward assistants that are useful enough to leave on by default and inexpensive enough not to require constant justification. ## What to watch next Watch how quickly MAI-Code-1.1-Flash becomes the default choice for routine Copilot work and whether the Customize tab changes how teams structure their assistant workflows. Also watch whether GitHub keeps widening the app surface with more first-class customization. If it does, Copilot could become less like a model picker and more like a programmable workbench. If that happens, the model release becomes only one part of the story. The real product would be the combination of model selection, surface design, and workflow customization. ## Sources - [GitHub Changelog](https://github.blog/changelog/2026-08-11-mai-code-1-1-flash-available-in-github-copilot/) - August 11, 2026 release. - [GitHub Changelog](https://github.blog/changelog/2026-08-25-github-copilot-app-customize-tab-is-generally-available/) - August 25, 2026 customization update. Mentions: GitHub, Copilot, MAI-Code-1.1-Flash, MCP servers, plugins, skills, canvases ## Sources - [GitHub Changelog](https://github.blog/changelog/2026-08-11-mai-code-1-1-flash-available-in-github-copilot/) - [GitHub Changelog](https://github.blog/changelog/2026-08-25-github-copilot-app-customize-tab-is-generally-available/)