Skip to main content

Turn any AI agent into an agile developer. Persistent sprint context for Claude Code, Cursor, Copilot, Codex, Gemini, Aider, Windsurf. Zero dependencies.

Project description

๐Ÿƒ sprint-agent

Turn any AI agent into an agile developer. Persistent sprint context for Claude Code, Cursor, Copilot, Codex, Gemini, Aider, Windsurf. 83% fewer tokens per session. Zero dependencies. Pure Python.

CI License: MIT Python 3.8+ Zero Dependencies

Sprint Agent gives AI coding agents persistent memory and structured workflow โ€” so they stop wasting tokens re-reading your codebase and start shipping like a teammate.


The Problem

Every time you start a new session with an AI agent, it wastes time re-reading your entire codebase:

                WITHOUT Sprint Agent

  Session 1          Session 2          Session 3
  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
  โ”‚ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ”‚    โ”‚ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ”‚    โ”‚ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ”‚
  โ”‚ Read 50    โ”‚    โ”‚ Read 50    โ”‚    โ”‚ Read 50    โ”‚
  โ”‚ files      โ”‚    โ”‚ files      โ”‚    โ”‚ files      โ”‚  WASTE
  โ”‚ again      โ”‚    โ”‚ again      โ”‚    โ”‚ again      โ”‚
  โ”‚ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ”‚    โ”‚ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ”‚    โ”‚ โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ โ”‚
  โ”‚            โ”‚    โ”‚            โ”‚    โ”‚            โ”‚
  โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚
  โ”‚ Actual     โ”‚    โ”‚ Actual     โ”‚    โ”‚ Actual     โ”‚  WORK
  โ”‚ work       โ”‚    โ”‚ work       โ”‚    โ”‚ work       โ”‚
  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

  Context: ~12,300 tokens wasted per session
  No memory between sessions
  Agent doesn't know what was done yesterday
                WITH Sprint Agent

  Session 1          Session 2          Session 3
  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
  โ”‚ โ–‘โ–‘ sprint  โ”‚    โ”‚ โ–‘โ–‘ sprint  โ”‚    โ”‚ โ–‘โ–‘ sprint  โ”‚  2 min
  โ”‚            โ”‚    โ”‚            โ”‚    โ”‚            โ”‚
  โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚
  โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚
  โ”‚ โ–“โ–“ Actual โ–“ โ”‚    โ”‚ โ–“โ–“ Actual โ–“ โ”‚    โ”‚ โ–“โ–“ Actual โ–“ โ”‚  WORK
  โ”‚ โ–“โ–“ work   โ–“ โ”‚    โ”‚ โ–“โ–“ work   โ–“ โ”‚    โ”‚ โ–“โ–“ work   โ–“ โ”‚
  โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚
  โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚    โ”‚ โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“โ–“ โ”‚
  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

  Context: ~2,100 tokens (83% reduction)
  Full memory: what's done, what's next, what failed
  Agent picks up exactly where it left off

Installation

Two ways โ€” same tool, your choice:

# Option A: standalone (zero install, recommended)
curl -O https://raw.githubusercontent.com/miloudbelarebia/sprint-agent/main/sprint_agent.py
python sprint_agent.py init

# Option B: pip (PyPI release coming soon as `sprint-agent-cli`)
# git clone + pip install -e . works today:
git clone https://github.com/miloudbelarebia/sprint-agent
cd sprint-agent && pip install -e .
sprint-agent init

Quick Start

# 1. Initialize in your project
sprint-agent init --name "My SaaS" --daily 30 --agent claude

# 2. Check today's status
sprint-agent status

# 3. Add tickets to the backlog
sprint-agent backlog add "Fix auth redirect" --priority P1 --effort S
sprint-agent backlog add "Add E2E tests" --priority P2 --effort L --sprint S03

# 4. Plan next sprint
sprint-agent sprint new --goal "Launch payment flow"

# 5. Friday retro
sprint-agent retro

# 6. Save to git
sprint-agent sync

After init, your project gets a .sprint/ directory:

your-project/
โ”œโ”€โ”€ .sprint/
โ”‚   โ”œโ”€โ”€ AGENT.md              โ† AI agent reads this first (auto-loaded)
โ”‚   โ”œโ”€โ”€ backlog.md            โ† Prioritized product backlog
โ”‚   โ”œโ”€โ”€ config.yaml           โ† Sprint settings (daily duration, etc.)
โ”‚   โ”œโ”€โ”€ sprints/
โ”‚   โ”‚   โ””โ”€โ”€ S01_2025-01-06.md โ† Weekly sprint with daily breakdown
โ”‚   โ”œโ”€โ”€ retros/
โ”‚   โ”‚   โ””โ”€โ”€ RETRO_S01.md      โ† Friday retrospective
โ”‚   โ””โ”€โ”€ sessions/
โ”‚       โ””โ”€โ”€ (auto-created)
โ”œโ”€โ”€ CLAUDE.md                 โ† Auto-generated (Claude Code reads this)
โ””โ”€โ”€ .cursorrules              โ† Auto-generated (Cursor reads this)

How It Works

  You                   Sprint Agent              AI Agent
   โ”‚                        โ”‚                        โ”‚
   โ”‚  sprint-agent init     โ”‚                        โ”‚
   โ”‚โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€>โ”‚                        โ”‚
   โ”‚                        โ”‚  Creates .sprint/      โ”‚
   โ”‚                        โ”‚  + AGENT.md            โ”‚
   โ”‚                        โ”‚  + backlog.md          โ”‚
   โ”‚                        โ”‚  + sprint S01          โ”‚
   โ”‚                        โ”‚                        โ”‚
   โ”‚  "Start working"       โ”‚                        โ”‚
   โ”‚โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€>โ”‚
   โ”‚                        โ”‚                        โ”‚
   โ”‚                        โ”‚   Reads .sprint/ โ”€โ”€โ”€โ”€โ”€โ”€โ”‚
   โ”‚                        โ”‚                        โ”‚
   โ”‚                        โ”‚   Knows instantly:      โ”‚
   โ”‚                        โ”‚   โ— Sprint S03, Day 2   โ”‚
   โ”‚                        โ”‚   โ— 3/8 tickets done    โ”‚
   โ”‚                        โ”‚   โ— Next: fix auth bug  โ”‚
   โ”‚                        โ”‚   โ— Blocker: DB migrate  โ”‚
   โ”‚                        โ”‚                        โ”‚
   โ”‚                        โ”‚   Works 28 min โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€>โ”‚
   โ”‚                        โ”‚   Updates sprint โ”€โ”€โ”€โ”€โ”€โ”€>โ”‚
   โ”‚                        โ”‚                        โ”‚
   โ”‚   "Done for today"     โ”‚                        โ”‚
   โ”‚<โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”‚
   โ”‚                        โ”‚                        โ”‚
   โ”‚  sprint-agent sync     โ”‚                        โ”‚
   โ”‚โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€>โ”‚  git commit + push     โ”‚
   โ”‚                        โ”‚                        โ”‚

The Token Cost โ€” Real Numbers

Measured on DataFrancePro (5M company database, 70+ tickets, 6 sprints):

What the agent reads Without With Sprint Agent
Instructions file 6,200 tokens 200 tokens
Session history 5,100 tokens 0 (in sprint)
State/status file 1,600 tokens 0 (in sprint)
Sprint file โ€” 1,900 tokens
Total context ~12,300 ~2,100
Reduction 83%

Time impact (measured across 10 sessions):

Metric Without With Gain
Context loading 8-15 min 2 min 4-7x faster
Work time / 30min 15-22 min 28 min +50%
Repeated exploration Every session Never Eliminated

Methodology: Tokens at ~4 bytes/token. Time = session start to first code edit. 10 daily sessions, April 2026. Before = no agile structure. After = Sprint Agent.


The Agile Model

Sprint Agent implements lightweight agile for solo dev + AI agent pairs:

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ WEEK โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                                                โ”‚
โ”‚  Mon      Tue      Wed      Thu      Fri       โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚  โ”‚DAILYโ”‚  โ”‚DAILYโ”‚  โ”‚DAILYโ”‚  โ”‚DAILYโ”‚  โ”‚RETROโ”‚ โ”‚
โ”‚  โ”‚ 30m โ”‚  โ”‚ 30m โ”‚  โ”‚ 30m โ”‚  โ”‚ 30m โ”‚  โ”‚ 15m โ”‚ โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ”‚                                                โ”‚
โ”‚  Daily = status + 1 ticket + update            โ”‚
โ”‚  Retro = review + plan next week               โ”‚
โ”‚                                                โ”‚
โ”‚  Total: 2h15 focused work per week             โ”‚
โ”‚  Result: 5-10 tickets shipped per sprint       โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

The Sprint Cycle

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ BACKLOG  โ”‚โ”€โ”€โ”€โ”€>โ”‚  SPRINT  โ”‚โ”€โ”€โ”€โ”€>โ”‚  DAILY   โ”‚โ”€โ”€โ”€โ”€>โ”‚  RETRO   โ”‚
โ”‚          โ”‚     โ”‚          โ”‚     โ”‚          โ”‚     โ”‚          โ”‚
โ”‚ All work โ”‚     โ”‚ This weekโ”‚     โ”‚ Today's  โ”‚     โ”‚ Review   โ”‚
โ”‚ P0 โ†’ P4  โ”‚     โ”‚ 5-8      โ”‚     โ”‚ ticket   โ”‚     โ”‚ Score    โ”‚
โ”‚ Icebox   โ”‚     โ”‚ tickets  โ”‚     โ”‚ 30 min   โ”‚     โ”‚ Improve  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
     โ”‚                โ”‚                โ”‚                โ”‚
     v                v                v                v
 backlog.md      sprint.md      sprint.md [x]     retro.md

Agent Compatibility

Works with any AI coding agent that reads project files:

Agent Auto-config file How it works
Claude Code CLAUDE.md Auto-read at session start
Cursor .cursorrules Auto-read at session start
GitHub Copilot .github/copilot-instructions.md Manual read
Aider .aider.conf.yml Manual read
Windsurf .windsurfrules Auto-read at session start
OpenAI Codex AGENTS.md Auto-read at session start
Gemini โ€” Tell it: "Read .sprint/AGENT.md"
Any agent โ€” Tell it: "Read .sprint/AGENT.md"

Commands Reference

sprint-agent init [options]

Initialize .sprint/ directory with templates and agent config.

Option Default Description
--name <name> directory name Project name
--daily <min> 30 Daily session duration (minutes)
--days <n> 5 Working days per sprint
--retro-day <day> friday Retrospective day
--agent <type> auto claude cursor copilot codex gemini aider windsurf
--force โ€” Overwrite existing .sprint/
sprint-agent init                                    # defaults: 30min, 5 days
sprint-agent init --daily 45 --days 4                # custom schedule
sprint-agent init --name "My SaaS" --agent claude    # named project
sprint-agent init --daily 120 --days 2 --retro-day sunday  # weekend warrior

sprint-agent status

Show today's context: date, sprint, progress bar, remaining tickets.

โ•”โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•—
โ•‘          Sprint Agent โ€” Daily Status          โ•‘
โ• โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ฃ
โ•‘  Date    : 2025-01-15 (Wednesday)            โ•‘
โ•‘  Sprint  : S03  (day 3/5)                    โ•‘
โ•‘  Progress: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘ 48%     โ•‘
โ•‘  Daily   : 30 min session                    โ•‘
โ•šโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•

Remaining tickets:
  โ—‹ P2-01: Add rate limiting to /api/search
  โ—‹ P2-02: Mobile responsive dashboard

sprint-agent sprint new [options]

Create the next weekly sprint.

Option Default Description
--goal <text> TBD Sprint goal
--daily <min> from config Override daily duration
--days <n> from config Override working days
sprint-agent sprint new --goal "Launch MVP auth + payment"

sprint-agent backlog add <description> [options]

Add a prioritized ticket to the backlog.

Option Default Description
--priority <P0-P4> P2 Priority level
--effort <XS-XL> M Effort estimate
--sprint <id> โ€” Assign to sprint (e.g. S03)
sprint-agent backlog add "Fix auth redirect loop" --priority P1 --effort S
sprint-agent backlog add "Add E2E Playwright tests" --priority P2 --effort L --sprint S03
sprint-agent backlog add "Security audit" --priority P0 --effort XL

Other commands

Command Description
sprint-agent backlog list Display full backlog
sprint-agent retro Generate Friday retrospective template
sprint-agent config Show current configuration
sprint-agent sync Git commit + push .sprint/ changes
sprint-agent --version Show version

Configuration

# .sprint/config.yaml โ€” edit to customize
project:
  name: "My SaaS App"

sprint:
  duration: 7              # calendar days per sprint
  days_per_sprint: 5       # working days
  daily_duration: 30       # minutes per session
  retro_day: friday
  start_day: monday

agent:
  type: auto               # auto | claude | cursor | copilot | aider | windsurf

priorities:
  P0: "Critical โ€” blockers, security, data loss"
  P1: "High โ€” must ship this sprint"
  P2: "Medium โ€” next sprint"
  P3: "Low โ€” this quarter"
  P4: "Nice-to-have โ€” someday/maybe"

effort:
  XS: "< 30 min"
  S:  "~1 hour"
  M:  "2-4 hours (1 daily)"
  L:  "4-8 hours (2-3 dailies)"
  XL: "> 1 day (break it down)"

What Gets Generated

AGENT.md (read by AI at session start)

# AI Agent Instructions โ€” Sprint Agent

## Your Workflow (every session)
1. Read this file
2. Read `.sprint/sprints/` latest file
3. Pick the next TODO ticket
4. Work for 30 minutes
5. Update the sprint file
6. Commit with ticket ID

## Rules
- 1 daily = 1 ticket (unless XS)
- Verify deploys after push
- Document blockers in sprint file
- Friday = retrospective

## Project Context
> (you add your project details here)

Sprint file (one per week)

# Sprint S03 โ€” Week of 2025-01-20

> Goal: Launch auth + payment
> Capacity: 5 x 30min = 2.5h

## Monday โ€” DONE
- [x] T-012: Fix auth redirect loop

## Tuesday โ€” TODAY
- [ ] T-013: Add Stripe checkout flow

## Wednesday
- [ ] T-014: Webhook signature verify

## Metrics
| Metric | Start | End   |
|--------|-------|-------|
| Tests  | 45    | 52    |

Retrospective (every Friday)

# Retrospective S03 โ€” 2025-01-24

## 1. What went well
- Auth flow shipped in 2 dailies

## 2. What didn't go well
- Stripe webhook took longer than expected

## 3. Actions for next sprint
- [ ] Add webhook retry logic
- [ ] Write E2E tests for payment

## 4. Score
- Productivity: 4/5

Real-World Results

Battle-tested building DataFrancePro โ€” a B2B SaaS platform with 5M+ French companies:

Sprint Duration Tickets Highlights
S01-S04 4 weeks ~30 Infra, ETL pipeline, 5M migration, security
S05 1 week 32 Admin dashboard, web scraping, 80 tests
S06 1 week 10 Stripe audit, MCP protocol, accessibility

6 sprints. 70+ tickets. 1 developer. 30-minute daily sessions.


Philosophy

  1. Markdown over databases โ€” .md files readable by humans AND AI agents
  2. Convention over configuration โ€” Opinionated defaults, override what you need
  3. Agent-first design โ€” Optimized for AI context windows, not human dashboards
  4. Git-native โ€” Sprint history is version-controlled; diffs show progress
  5. Zero dependencies โ€” Pure Python stdlib; your sprint files work without Sprint Agent installed
  6. Single-file distribution โ€” One .py file = standalone tool OR pip package

Why I built this

I was burning 20-40% of every Claude Code session watching the agent re-discover my codebase. Same files. Same conclusions. Every time.

So I tried the obvious thing: write down what's done, what's next, what failed โ€” in a file the agent reads first. Token cost dropped 83%. Time-to-first-edit dropped from 8-15 min to 2 min.

The unlock was treating the AI agent like a teammate who joined yesterday: give them a sprint board, not a tabula rasa. After 6 sprints and 70+ shipped tickets on DataFrancePro, this workflow became how I ship.

Open-sourcing it because the format works for any agent, any project, any solo dev. โ€” Miloud


Roadmap

Sprint Agent stays small. Here's what's planned:

  • PyPI publish as sprint-agent-cli
  • sprint-agent ticket done <id> โ€” mark a ticket as done from CLI
  • sprint-agent burnup โ€” burnup chart in the terminal
  • sprint-agent stats โ€” sprint velocity and trend over time
  • Pre-built .sprint/ templates for common stacks (Next.js, FastAPI, Rails)
  • Optional sprint-agent watch โ€” auto-sync on file changes
  • VSCode/Cursor extension to render the sprint as a sidebar

Vote with thumbs on the discussions board โ€” most-requested ships first.


Contributing

See CONTRIBUTING.md. TL;DR:

git clone https://github.com/miloudbelarebia/sprint-agent
cd sprint-agent
python sprint_agent.py --help    # test locally
python sprint_agent.py init      # test init

Issues and PRs welcome: github.com/miloudbelarebia/sprint-agent/issues


License

MIT โ€” see LICENSE.

Built by Miloud Belarebia ยท part of the 2PiData toolkit. Battle-tested on DataFrancePro โ€” 5M+ companies, 70+ tickets, 6 sprints, 1 developer + Claude Code.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sprint_agent-0.4.0.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sprint_agent-0.4.0-py3-none-any.whl (15.2 kB view details)

Uploaded Python 3

File details

Details for the file sprint_agent-0.4.0.tar.gz.

File metadata

  • Download URL: sprint_agent-0.4.0.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for sprint_agent-0.4.0.tar.gz
Algorithm Hash digest
SHA256 9c61afecf4ffdbf8d9a1f9e3d4283dbca5a95721fc1c486c4ded5cb2cbcad2a7
MD5 ade846654b3daebe3bf53f9daee2d831
BLAKE2b-256 109b9cb073b49a2eb58bc76d2212503c607a649d137891ae57546632ea2a3c79

See more details on using hashes here.

Provenance

The following attestation bundles were made for sprint_agent-0.4.0.tar.gz:

Publisher: publish.yml on miloudbelarebia/sprint-agent

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sprint_agent-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: sprint_agent-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 15.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for sprint_agent-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 47be5670c715e1a72fa26dac4a7740ff5829200bffa18015dd5979dc4ab4254d
MD5 9482e71a57678d97d49880d871e8f8a2
BLAKE2b-256 03c121d5f96fd90bf5aadc51139f6468e6f1a76f6d8e0fe2b46fedf29e006ead

See more details on using hashes here.

Provenance

The following attestation bundles were made for sprint_agent-0.4.0-py3-none-any.whl:

Publisher: publish.yml on miloudbelarebia/sprint-agent

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page