Arca OS

Arca OS is building a new way to create software: an AI-native application builder powered by ARC Chain and designed to run directly in your browser. Start with a simple idea, then let the autonomous agent analyze your request, create a plan, write the code, and turn it into a working application. Every generated project opens inside an isolated browser-based development environment where you can inspect files, edit the source, run commands, watch the agent’s progress, and preview the result in real time. Arca OS combines AI generation, a complete browser IDE, GitHub integration, secure wallet authentication, persistent projects, and transparent usage-based credits in one focused workspace. No complicated local setup. No jumping between disconnected tools. Just connect your wallet, describe what you want to build, and move from idea to functional software. Build faster. Stay in control. Build beyond imagination. #arc $ARCA

The Next Chapter for Arca OS Our next focus is making Arca OS more capable, reliable, and easier to use—from your first idea to an application you can edit and publish. We’ll continue refining the Figma workflow so creators can bring a selected design frame into Arca OS, use it to guide development, and compare the actual desktop and mobile results with the original. We’re also working toward more dependable AI builds, clearer progress updates, and safer recovery when a build is interrupted. Beyond generation, we want to improve how you review and refine your work: better previews, more useful feedback, and a smoother editing experience. The goal is not simply to produce something that looks finished, but to help you understand what was built, make changes with confidence, and turn it into a product you can keep developing. We’ll share these improvements as they are tested and ready for wider use. $ARCA

What’s Next for Arca OS We’re continuing to build Arca OS into a place where an idea can become a working, editable application. Our next focus is making the entire process more dependable: clearer progress while AI builds, better tools for refining the result, and a smoother path from preview to publish. We’re also preparing the next stage of our Figma integration. The goal is to let you select a design frame, turn it into editable application code, and compare the real desktop and mobile results with the original design. Alongside that, we’ll keep improving build reliability so work can recover from interruptions without losing progress or charging twice. These improvements are about giving creators more control not just generating an app, but helping them inspect it, change it, and confidently take it further. $ARCA

Today, we’re working on the final testing of Arca OS’s @Figma integration. Our goal is to make the journey from design to working application more direct: connect a Figma account, select a single frame, and use that frame as the reference for an editable app rather than a static screenshot. We’re also testing how Arca OS compares the application’s actual desktop and mobile previews with the original Figma frame. This comparison is designed to reveal differences in layout, content, color, and visual hierarchy, making it easier to see what needs refinement. Once the connection, import, and comparison flows are verified, we’ll be better prepared to make this workflow available more widely.

Arca OS now integrates with Figma We’re bringing design and development closer together. With our new Figma integration, you can connect your Figma account to Arca OS, choose a frame from your design, and use it as the reference for an editable application—not just a static copy of an image. Arca OS uses the selected frame’s visual details and structure to guide the build. It then compares the application’s actual desktop and mobile previews with the original design, so you can see what matches and what still needs attention. You can continue refining the generated application in the workspace, with the Figma frame available as a reference throughout the process. $Arca $Arc

We recently enhanced Visual Intelligence in Arca OS to make the interface generation process more reliable and its evaluations more closely align with what users actually see. These updates include more stable desktop and mobile screenshot capture, build continuation when the optional evaluation service is interrupted, and more stringent checks for navigation and interaction. We also ran end-to-end testing on real-world renders. Our next focus is improving the accuracy of visual assessments, so that interfaces not only execute successfully but also increasingly align with the requested design direction. $ARCA $Arc

Arca OS update: Build Engine V3 can build apps in the cloud, and now you can see the results right inside Studio. We fixed the Daytona preview issue that caused browsers to refuse the connection. Vite pages and assets now load through a secure Arca OS route, while the built app remains isolated from your session. We tested it in Chromium: the React app actually renders—not just returns an HTTP 200. Building an app and seeing it come to life now feel like one continuous flow. $ARCA

ARCA OS Agent V2 update: We ran the repository agent against real OpenAI and Daytona, not just mocks. Two fresh runs in a row successfully modified five existing files, created a new component, passed the build and Chromium checks, and served a working preview. The persisted source also matched what was running in Daytona. The third run failed after making changes: a repeated action ID was followed by malformed decisions. The rollback completed safely, but that failure resets our consecutive-pass count. Phase 2 is implemented, not yet verified. We’re investigating the decision loop before attempting the required three clean runs again. Phase 3 has not started. $Arca $Arc

We’re changing how ARCA OS works on existing projects. Instead of selecting just a few files, the new repository-aware Agent can explore the codebase, identify relevant source, plan its work, edit multiple existing files, create new ones, and validate the result. We’ve also added durable checkpoints, revision guards, approval for destructive actions, cancellation recovery, and clearer progress updates. The implementation is in place, but we’re not calling it fully verified until it completes a real end-to-end Daytona run. $ARCA

Our vision is simple. Everything useful on Arc should be buildable from Arca OS. Not just landing pages. Real utilities. Real products. Real software that people can open, use, and ship. The mission is to give builders one workspace on Arc: describe the idea, assemble the work, verify it, and put it live. If Arc is the Economic OS, Arca OS is where the applications get made. arcaos.xyz/

Arca OS Runtime V2 is complete - and it was tested not just with unit tests, but in real, isolated Daytona sandboxes. We ran Vite and Next.js fixtures through dependency installation, production builds, dev servers, signed previews, and Chromium render checks. npm, pnpm via Corepack, Yarn Classic via Corepack, and Bun passed. Six failure scenarios were also correctly rejected with clear diagnostics, including failed installs or builds, early server exits, port conflicts, blank pages, and JavaScript errors. We also tested the Studio flow with a disposable project without using anyone’s build credits. Source revisions and existing lockfiles stayed stable, and the test workspace was cleaned up afterward. We’re not claiming Yarn Berry is ready yet: its build still fails on the current Daytona image. $ARCA $Arc

Arca OS is being upgraded to work more like a real engineering system, not just an AI code generator. It will read projects selectively, focusing only on the files relevant to the task instead of rewriting the entire app. Before making changes, Arca OS will show a clear plan: what files will be modified, what will change, and which actions require approval. After every implementation, it will run checks, builds, and previews. If something fails, it reads the actual error and applies a targeted fix only where needed. Work also stays persistent. Progress and results remain available after reopening the tab, and restarts won't erase changes or trigger duplicate builds. Focused changes. Visible execution. Persistent progress. $Arc $ARCA

We’ve completed a major step toward making Arca OS a place to build and run apps, not just generate code. Arca’s AI now works in the same cloud project workspace as the editor: it can change files, install dependencies, run builds, check previews, and show its actual steps and logs in Studio. We’ve also added full-stack cloud releases alongside static publishing, with isolated deployment environments, runtime logs, and rollback. The goal is a continuous workflow: describe an idea, watch the AI build it, open the project yourself, and publish what you’ve made. We’re now validating that entire prompt-to-live-app journey end to end. $ARCA $Arc

We’ve completed the integration between Arca OS’s AI agent and the Daytona cloud workspace used by the project editor. The AI can now edit project files, install dependencies, run builds and previews, and attempt a limited fix when a check finds an error. In Studio, the plan, file changes, commands, and logs come from actual work—not simulated progress. Deleting files requires approval. If a worker stops unexpectedly, checkpoints help preserve saved work and prevent duplicate charges; an unfinished step is never treated as a successful build. The goal is simple: the AI doesn’t just generate code in a chat. It works on the same app you can open, test, and keep building in the editor. A live end-to-end test with a real wallet is the next verification step. $ARCA

We’re happy to announce our integration with @daytonaio . It gives Arca projects isolated, persistent cloud workspaces where you can edit files, run commands in an interactive terminal, and preview your work live. Stop your workspace and come back later without losing your files or starting over. We’re putting our best effort into making Arca more capable and reliable. We’ll keep building, listening, and improving every day. $ARCA $Arc

Production Autopilot is now live in Arca OS. Building an app was never the finish line. Arca OS now handles the path to production: environment configuration, database migrations, deployment, monitoring, rollback, and incident recovery. Every release is checked in preview before it ships and verified again in production. If a critical issue appears, Arca OS can detect it, restore the last stable version, and prepare a targeted fix. From the first prompt to a live product—and through the problems that come after launch—Arca OS is built to keep software running. $Arc $ARCA

We’re now building Production Autopilot for Arca OS. Creating the application is only the beginning. Arca OS is being upgraded to handle the entire journey from a working project to reliable production software. That includes deployment, database migrations, environment configuration, preview verification, production testing, monitoring, automatic rollback, and incident recovery. Before every release, Arca OS will verify the preview, validate the production environment, apply required migrations safely, and confirm that the live application is actually working. If a release introduces a critical failure, it will diagnose the incident, restore the last stable version, and prepare a targeted fix. The goal is simple: describe what you want to ship, and $Arca OS handles everything required to deploy, verify, monitor, recover, and keep it running. From AI app builder to autonomous production infrastructure.

Arca OS just completed its biggest upgrade yet: autonomous engineering teams. A single prompt can now coordinate specialized agents for product planning, interface design, engineering, runtime testing, security, and deployment. They work in parallel inside the same live project, share durable context, review each other’s work, and continue from checkpoints without repeating completed tasks. Each agent owns a focused responsibility, while Arca OS manages dependencies, resolves conflicts, verifies the combined result, and keeps every decision and action visible in real time. You describe the product. Arca OS assembles the team, builds it, tests it, repairs failures, and prepares it to ship. $Arca OS is no longer just an AI app builder. It is becoming an autonomous software company.

What’s next for Arca OS: autonomous engineering teams. Instead of one AI agent handling an entire build step by step, Arca OS will coordinate specialized agents for product planning, interface design, engineering, runtime testing, security, and deployment. They will work in parallel inside the same live project, share durable context, review each other’s work, resolve failures, and continue from checkpoints without repeating completed tasks. You describe the product. Arca OS assembles the team, builds it, verifies it, and prepares it to ship. The AI app builder is becoming an autonomous software company. $ARCA

We’ve completed the next major upgrade for Arca OS: targeted autonomous self-repair. When a project fails, Arca no longer needs to regenerate everything. It traces the root cause, identifies the affected files, plans the smallest safe repair, applies a focused patch, and verifies the real user flow without disturbing what already works. The loop is now: observe → diagnose → select files → plan → patch → validate → test → compare → repair again only if necessary. This makes autonomous builds faster, more precise, less expensive, and far less likely to introduce regressions. Arca is moving beyond “generate and retry” toward real software engineering: understand the problem, change only what is necessary, and prove the fix works. $ARCA #Arc $Argus

The next major upgrade for Arca OS: targeted autonomous self-repair. Instead of regenerating an entire project when something fails, Arca will trace the problem to the responsible file, understand the surrounding code, create the smallest safe patch, and verify that the fix works without breaking existing features. The upgraded loop will look like this: observe the runtime → identify the root cause → select the affected files → plan a minimal repair → apply the patch → run checks → test the real user flow → compare the result → repair again only if necessary. This should make autonomous builds faster, more precise, and significantly cheaper. It also reduces the risk of losing working functionality during a repair. The goal is to move Arca beyond “generate and retry” toward real software engineering: inspect carefully, change only what is necessary, verify the result, and preserve everything that already works. $ARCA #Arc