PulseDev
Click any UI bug and review real code fixes before approving
About
PulseDev is a local AI coding companion designed to let developers quickly address UI issues directly on their own running sites. By pointing and clicking on any problematic element in a web app, users can describe what’s wrong, prompting the tool’s integration with code-focused AI models such as Claude Code, Codex, Gemini, or OpenCode to suggest and make code fixes in the actual project files. Importantly, no changes are made until the developer approves a clear code diff, ensuring control and preventing unwanted edits.
Installation runs entirely on the user’s machine, with no code or data sent to PulseDev’s servers. This provides privacy and compatibility with existing paid AI coding agents, making it simple to add to any developer’s workflow. The interface is interactive and visual—you navigate your local site, click, describe, and can preview code edits before approving them for merge. This speeds up bug triage, reduces friction compared to creating tickets or slack screenshots, and directly links visual issues to code solutions.
PulseDev supports multiple frameworks, including Vue, React, and plain HTML, making it suitable for a wide range of web developers. It aims to save hours of manual edits by streamlining repetitive fixes and UI tweaks, making it particularly useful for small teams or solo developers maintaining diverse web projects.
Who is PulseDev made for?
PulseDev is intended for web developers, front-end engineers, and product managers working on locally hosted web applications who want to speed up the process of fixing minor UI bugs and tweaks.
It is especially useful for solo developers, small teams, and startup engineers who juggle multiple codebases and regularly face time-consuming visual or UX issues that would otherwise require ticketing or lengthy back-and-forths.
By supporting frameworks like Vue and React, it targets professionals managing ongoing product maintenance or internal tools, helping them move from bug identification to code fix in a streamlined, AI-integrated workflow.
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