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JuanjoFuchs/README.md

Hi, I'm JJ 🦊

📍 Peru ↔ New Jersey · 🧱 Compounding, harness‑agnostic tooling for AI‑native devs

The agent layer is commoditized, Claude, Codex, Cursor, and Gemini are racing each other. My time goes into the layer above: tooling and institutional knowledge that compound across model swaps, the kind you don't have to rebuild when you switch harnesses.

"Stop building another Claude. Build the harness around the one you already have."


🛠️ What I'm building

🖥️ hwinfo-tui · ⭐ 57

hwinfo-tui demo

A TUI for plotting HWInfo64 sensors. HWInfo shows your CPU at 75°C right now but can't tell you if it just spiked or has been climbing for 10 minutes. This plots the values live to visually understand your sensors.

uvx hwinfo-tui

🔥 ccburn · ⭐ 37

ccburn screenshot

Real‑time burn‑up charts for Claude Code usage limits. Visual clarity for token burn, track usage against a budget pace line, instantly know if you're ahead or behind. Pace indicators (🧊/🔥/🚨), compact mode for status bars, JSON for automation.

npx ccburn

tempo-filler-mcp-server · ⭐ 5

Tempo Filler timesheet

Tell Claude "fill my October hours" and the MCP server bulk‑creates the worklogs once you approve. Uses MCP Apps to render visual timesheet and calendar UIs inside Claude Desktop and VS Code.

npx @tranzact/tempo-filler-mcp-server

📬 agent-mail-cli

agent-mail-cli demo

A CLI for coding agents to send mail to each other. One command for agents to learn it, no daemon, no MCP server, no harness setup. send, read, ack, status, that's the whole surface.

npx @juanjofuchs/agent-mail describe

📊 claudefana · ⭐ 1

claudefana dashboard

Claude Code exports detailed OpenTelemetry data, cost per request, token breakdowns, tool calls, cache hits, edit decisions. All of it vanishes unless you wire up a backend. claudefana is that backend. 1 dashboard, 26 panels across 8 sections, cost per commit, cache hit ratio, lines per dollar, etc.

docker compose -f docker-compose.otel.yaml up -d

🏢 claudefana-enterprise

claudefana enterprise

You deployed Claude Code to your engineering org, now you need to know if it's being adopted. Anthropic published a guide with 5 ROI questions, I built the dashboards that answer them. Two custom exporters pull org structure from Microsoft Graph and work data from Jira/Tempo. Three dashboards, 80+ panels.

docker compose -f docker-compose.enterprise.yaml up -d

✍️ Latest from the blog

More at juanjofuchs.github.io, writing about AI‑native development, second‑brain workflows, and the tools above.

🤝 Connect

Blog X LinkedIn GitHub

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  1. ccburn ccburn Public

    🔥 Claude Code usage limits — TUI with burn-up charts, compact mode for status bars, JSON for automation

    Python 83 4

  2. hwinfo-tui hwinfo-tui Public

    A gping-inspired terminal visualization tool for monitoring real-time hardware sensor data from HWInfo.

    Python 57 4

  3. claudefana claudefana Public

    Real-time observability for Claude Code. One command gives you a Grafana dashboard tracking costs, tokens, tool usage, cache efficiency, and rate limits.

    Python 1

  4. claudefana-enterprise claudefana-enterprise Public

    Enterprise extensions for Claudefana — org-wide Claude Code adoption dashboards with Microsoft Graph enrichment and Jira/Tempo correlation

    Python 1

  5. TRANZACT/tempo-filler-mcp-server TRANZACT/tempo-filler-mcp-server Public

    MCP server for managing Worklogs in in JIRA

    TypeScript 5 6

  6. agent-mail-cli agent-mail-cli Public

    Self-describing local inbox for coding agents

    Python