Engineering-Grade Fitness

Your body is a production system.

DevFit treats fitness like software. Sprint planning for workouts, PR reviews for meals, Grafana panels for health metrics — and an AI agent to debug your body.

target_outcome: HYPERTROPHY_STABLE
$devfit start --outcome FAT_LOSS_AGGRESSIVE
devfit — zsh
$ devfit init --user engineer
> Scanning body composition...
> Loading sprint template...
> Connecting AI agent...
> System ready. Body v2.0 online.
$ devfit --list-modules

Every engineer's toolkit, for your body.

$ git branch sprint/week-{n}

Sprint Backlog

Workouts as Jira tickets. Priority-tagged, time-estimated, and tracked to done.

$ git commit -m "Add: chicken + rice"

Meal PR Review

Every meal is a pull request. Auto-reviewed against your macro targets.

$ systemctl status body.service

Grafana Metrics

Weight, calories, protein, sleep — all in Recharts panels styled like Grafana.

$ devfit agent --model claude-sonnet

AI Debug Console

Claude Sonnet 4.6 with full sprint context. Ask it anything. It calls tools.

$ devfit sprint --velocity

Burndown Chart

See ideal vs actual workout completions over the sprint week.

$ devfit standup --push #body-status

Slack Integration

Post your daily fitness standup to Slack with one click.

7
workouts / sprint
5
outcome modes
3
AI tools
∞
PRs to review
$ sudo apt-get install discipline

Ready to merge gains to main?

Configure your body specs, pick a target outcome, and DevFit generates your first sprint in seconds.

No gym membership required. No BS. Just PRs.