@jianxliao: the retool killer that we’ve all been waiting for
Summary
Railcode is a new platform for building secure internal apps and AI agents connected to company data, with local development using Claude Code and Codex, and integrated connectors for databases, file storage, email, and more.
View Cached Full Text
Cached at: 07/30/26, 01:56 PM
the retool killer that we’ve all been waiting for
Yakko (@yakkomajuri): Meet Railcode: a secure home for internal apps and agents connected to company data.
- build locally with claude code, codex
- db, file storage, email, connectors provided
- ship a slack agent in 5min. control apps from agents
- granular permissions
Similar Articles
@EBorgnia: Today we're launching Jacq. A coding agent built together with the small models we've been training at @relace_ai for t…
Jacq is a cloud-based coding agent that integrates with Slack, Linear, GitHub, email, and other tools, using small models trained by Relace AI to pull context from connected devices and maintain durable threads for work history.
Building AI-powered apps for business
Retool is integrating OpenAI's LLMs into its low-code platform to enable 'AI Actions' and smart building blocks, allowing businesses to build activated, intelligent applications. Retool plans to expand pre-built AI features and app templates over coming months.
Retool
Retool is a platform for building internal tools quickly, with a focus on governance.
@yinmin1987: 已经用上了Orca @JinjingLiang 推荐推荐太丝滑了！ https://onorca.dev
Orca is a new Agent Development Environment (ADE) backed by Y Combinator that enables developers to run multiple AI coding agents like Claude Code, Codex, and OpenCode side by side in isolated worktrees, with a mobile companion app.
@GitTrend0x: Claude Code Codebase Smart Brain — 27× Token Savings Killer Open-Source Tool https://github.com/repowise-dev/repowise… This is Repowise, a codebase intelligence platform built for AI-assisted engineering teams! It turns...
Repowise is an open-source tool that indexes codebases into four intelligence layers (dependency graph, git history, auto-documentation, architectural decisions) and exposes them via seven MCP tools to AI coding agents like Claude Code, achieving up to 27× token savings while maintaining answer quality.