A common problem with a familiar shape: a process can dial outbound to the internet, but nothing on the internet can dial it back. Your dev server on a laptop. A service in a private VPC. A homelab app behind your router. A container in a pod with no ingress. Same shape every time — outbound works, inbound doesn't. rift is a small Go binary I built to solve that. Run it as a server on a VPS you ow
The previous two posts covered how events flow from the SDK to the UI. This post focuses on visualizing one specific type of event: tool calls. Tool invocations are the most frequent operations in an Agent application. A typical task might call tools twenty or thirty times—reading files, writing files, executing commands, searching code. If every tool call renders as the same gray block, it's hard
Post 1 covered how AgentBridge converts the SDK's AsyncStream<SDKMessage> into [AgentEvent]. This post looks at what [AgentEvent] becomes — how TimelineView renders 18 event types, handles scroll behavior, and stays smooth when the event count gets large. TimelineView is the main body of the workspace, filling all the space between the sidebar and the input box. Its view hierarchy is shallow: Time
Posted by the RagLeap team — building RagLeap, a private-server AI business platform When we started building RagLeap, the easiest path was obvious: spin up an API, connect to OpenAI, store everything in a managed cloud database, and ship fast. The Problem Nobody Talks About You upload your documents, customer data, order history It works. But ask yourself: where is your data right now? What Our U
I like servers. Not in a "let me spend Saturday hand-tuning nginx" way. More in a "this $6 VPS is sitting right here and could probably run half my side projects" way. The weird part is that deploying to one still feels more complicated than it should. For a lot of small and medium web apps, the app itself is not the hard part. The annoying part is everything around it: building the app getting it