Launching today
buildpipe
Compose, run and automate multi step AI developer workflows
102 followers
Compose, run and automate multi step AI developer workflows
102 followers
A local-first pipeline automation app for developers powered by AI, running natively on your machine. Think of it as a local Zapier or n8n, built specifically for developers who want to chain shell commands, AI calls, HTTP requests, and file operations into reusable pipelines then trigger them on a schedule, on a file change, or via webhook.
buildpipe
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buildpipe
@curiouskitty I have not added any auth flows yet. Your llm api keys are encrypted and stored locally. Adding auth flow to the app in the next version I didn't feel it was a top req for v1. The goal was local pipes as a desktop app and I wanted to focus on that.
Thank you for the feedback!
the AI calls step in the pipeline is the one i'd want to understand better. chaining shell commands and HTTP requests is well-understood territory. adding AI calls introduces non-determinism into the pipeline which changes how you think about error handling and retry logic. if an AI step returns something unexpected does the pipeline fail, retry, or branch? and how do you define what unexpected means for a step that's inherently probabilisti
buildpipe
@ansari_adin I would define json outputs to everything so that you can measure with a field that there was a success in atleast processing the ai request. A score of confidence as well. It is upto you and how you decide to write your pipeline.
hey buddy!
The idea looks very interesting for productivity.
Just my concern for recurring workflows like Hacker News summaries or daily briefings, do you maintain a searchable history of previous runs?
For example, if I saw a story in the morning and later wanted to revisit the ai summary or outputs, having run history would be super useful. It is what we usually do.
But at the same time, storing every pipeline output/log long-term could also become a storage challenge locally specially for heavy AI workflows.
buildpipe
@naresh_chandanbatve great question...yes the logs are stored of each run under the .build-pipe folder in your user directory :)
Multi-step AI workflows are powerful when they include clear checkpoints. Can a buildpipe workflow pause for approval before a step changes code, posts externally, or calls a paid API?
Hey, congrats on the launch! This might be a dumb question, but does a device need powerful specs to run your app locally?
Rizzle AI
This looks super clean. Love the direction you’re taking with AI workflows 🚀
buildpipe
@nithin_raju1 thank you thank you