How well do you use Claude Code?
A bunch of companies that I spoke to had their own claude & codex OTel dashboards that showed spend + seats per month. However, none of the dashboards actually analyzed how the engineers worked with the tools and if there were any areas for improvement! That's why I created https://www.promptster.ai. Managers get aggregate level view of code quality and how that ties with team workflows (nothing on a per-engineer level). While engineers get personalized coaching on how they can save tokens while keeping output high. We also have a tool built for individuals to test their local…
How well do you use Claude Code? launched on July 24, 2026 with 21 votes, #854 of 24,623 launches that month and more than 90% of that year's launches.
In plain words
Promptster analyzes how engineering teams use Claude and Codex through dashboards that track code quality and workflow patterns. Managers see aggregate team-level insights, while individual engineers receive personalized guidance on optimizing token usage without sacrificing output quality. The platform includes an open-source, locally-run audit tool for testing Claude Code setups. It targets teams looking to improve AI tool efficiency beyond basic spend and seat tracking.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
A bunch of companies that I spoke to had their own claude & codex OTel dashboards that showed spend + seats per month. However, none of the dashboards actually analyzed how the engineers worked with the tools and if there were any areas for improvement! That's why I created https://www.promptster.ai.…
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Project management system for Claude Code2025 · github.com · ▲175I built a lightweight project management workflow to keep AI-driven development organized. The problem was that context kept disappearing between tasks. With multiple Claude agents running in parallel, I’d lose track of specs, dependencies, and history. External PM tools didn’t help because syncing them with repos always created friction. The solution was to treat GitHub Issues as the database. The "system" is ~50 bash scripts and markdown configs that: - Brainstorm with you to create a markdown PRD, spins up an epic, and decomposes it into tasks and syncs them with GitHub issues - Track…

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