Riley Brown open-sources Rilable app builder

// 1h agoOPENSOURCE RELEASE

Riley Brown open-sources Rilable app builder

Rilable is an open-source iOS app developed by Riley Brown in just 10 prompts using Anthropic's Claude Fable 5 model. The application leverages Claude and Daytona sandboxes to generate and preview web and iOS applications, integrating Convex for database features and Vercel for hosting.

// ANALYSIS

Rilable showcases the rising power of AI-assisted development by proving that a mobile application capable of generating other apps can be built in only 10 prompts. By open-sourcing this tool, the developer provides a valuable blueprint for orchestrating Claude and Daytona sandboxes in a mobile-first interface.

* Rapid Prototyping: Built in 10 prompts, exemplifying the efficiency of modern AI coding assistants.

* Daytona Integration: Bringing sandboxed development environments to mobile devices, matching desktop-class builders.

* Open Ecosystem: Opens up opportunities for developers to self-host and customize their own mobile app creation platforms.

// TAGS

rilableiosopen-sourceclaudedaytonaapp-builderconvexvercel

DISCOVERED

1h ago

2026-06-11

PUBLISHED

2h ago

2026-06-11

RELEVANCE

7/ 10

AUTHOR

rileybrown

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

LAUNCH26m ago

New framework automates agent harness optimization

A developer has built a framework designed to automate the optimization of AI agent harnesses—the control scaffolding that manages planning, tool calls, work verification, and error recovery around large language models. The framework's optimization capabilities were demonstrated on Terminal-Bench, a highly demanding benchmark for terminal-based agentic tasks.

OPEN SOURCE41m ago

Activeloop has open-sourced Hivemind, a continual learning skill layer for AI coding agents that watches task traces to automatically generate and share reusable skills across team environments.

Hivemind is an open-source tool developed by Activeloop that enables AI coding agents (such as Claude Code, Cursor, and Codex) to learn from user actions and repeat patterns instead of relying solely on retrieving static facts. By monitoring agent traces, including prompts, tool calls, and responses, Hivemind automatically identifies recurring patterns and distills them into reusable skill files (e.g., as slash commands). These skills can then propagate across a development team's shared trace store, facilitating collaborative agent improvement. Using Deep Lake for structured trace storage, Hivemind supports custom cloud configurations (BYOC) and exhibits substantial performance improvements, reducing token usage and turn counts on long-context benchmarks.

MODEL45m ago

Claude Fable 5 launches on B.AI

Anthropic's newly released Claude Fable 5 model is now available on the B.AI platform, offering unified access and smart routing for the long-running agentic model. Optimized for multi-hour, highly uncertain workflows, the model is designed to power autonomous agents executing software engineering and scientific research tasks.