Sprint-to-PR delivery automation platform for Jira and Azure DevOps teams.
Project description
SendSprint
🇺🇸 English. Leia em português: README.pt-BR.md.
SendSprint is a personal autonomous sprint-to-pull-request delivery utility — a public open-source package you install into your own machine and authorize against the repos you already work on. It reads Jira or Azure DevOps sprint work, maps the target architecture, creates isolated branches/worktrees, builds, tests, checks security, captures evidence, commits, opens pull requests, reviews the diff, and reports delivery state in one controlled flow with opt-in LLM code generation and deploy callbacks.
There is no hosted service, no SaaS tenant, no billing, no subscription. Everything runs locally under your control: credentials live in your OS keyring, work happens in worktrees on your disk, and any action against a company project is gated by the operator who launched the run. The repo stays public on GitHub so others can install it the same way — but the workflow is yours, not someone else's product.
The proposal is simple: remove the manual coordination tax between backlog, code, tests, evidence, and PRs. SendSprint gives a single engineer a repeatable execution lane from sprint planning to develop, with preflight validation, dry-run planning, resumable runs, branch-per-task delivery, and auditable output.
Productivity Visuals
Without vs. with SendSprint
SendSprint as the delivery engine
🎬 Videos
Productivity before/after (47s)
▶️ English MP4 (1920×1080, 47s, 7.1 MB) · 🇧🇷 Portuguese MP4 (1920×1080, 47s, 7.1 MB)
Product explainer (56s)
▶️ Full MP4 (1920×1080, 56s, 20 MB) · 🖼️ Poster
Run loop demo (22s) — what web/RunScreen shows
▶️ Full MP4 (1920×1080, 22s, 5.5 MB) · 🛠️ Source (Remotion)
🇧🇷 Versão em português dos vídeos: ver README.pt-BR.md.
Presentations
Stakeholder-ready implementation decks are available in editable and PDF formats:
The MP4 videos are generated locally by Remotion and include a generated music bed plus workflow sound effects (cd video && npm run build:preview).
The run-loop one shows exactly what happens in the browser when you open
http://localhost:8081 and start a sprint delivery: round 1 fails with a
visual regression, fix-loop applies patches, round 2 turns green, PR opens.
🌐 Run it in your browser (web)
# one command: ensure API + web UI and open the browser
pip install -e ".[api]"
cd web && npm install
sendsprint web # UI http://localhost:8081, API http://127.0.0.1:8765
See web/README.md for the full walkthrough and
sendsprint/api/README.md for the HTTP/SSE API.
The first sendsprint run, sendsprint watch, or sendsprint sprint of the
day now tries to ensure the localhost dashboard is up and opens
http://localhost:8081 automatically. Use --no-dashboard to skip it.
--full-mode is a shortcut for maximum autonomy (deploy-callback), and
sendsprint full --workspace ... starts the continuous watch loop in that mode.
sendsprint configure-defaults persists repo/workspace defaults plus startup
checks for package dependencies, llm-project-mapper refresh, dashboard
bootstrap, and Python fallback when the web UI is blocked.
Works across 13 AI coding tools: Claude Code, Codex CLI, GitHub Copilot, Cursor, Windsurf, Kiro, Zed, Cline, Continue, Aider, Sourcegraph Cody, Hermes, Openclaw.
Status: v0.20.0 — Release metadata is aligned for the task-understanding and portfolio-routing feature set: deterministic sprint item understanding, confidence-gated multi-repo routing, portfolio/project workspace metadata, read-only route previews in the API/control plane, Web project setup and Azure auth feedback, and plugin profiles for Windsurf, Kiro, and Antigravity. Core delivery still includes local-first
sendsprint sprint, Jira/Azure DevOps reads, dry-run/resume, evidence bundles, dashboard previews, PR creation, post-PR validation, OSS contribution mode, and yool/tuple runtime hardening.
Flow
| Step | Name | What it does |
|---|---|---|
| 1 | Read sprint | Fetch stories/tasks/bugs from Jira or Azure DevOps |
| 2 | Architecture mapping | Inspect repo docs; auto-generate baseline if score < 0.6 |
| 3 | Dev | Detect tech stack, create worktree, install deps + build |
| 4 | Lint | Static analysis per tech (eslint, ruff, clippy, etc.) |
| 5 | Tests | Unit tests + Playwright E2E with screenshot evidence |
| 6 | Security review | Flag-only scan (secrets, env files, npm audit) |
| 7 | Fix loop | If lint/tests/security fail: re-build + re-run (max 3 rounds) |
| 8 | Commit | git add -A && git commit on worktree branch |
| 9 | Create PR | GitHub (gh CLI) or Azure DevOps REST API |
| 10 | PR review + Delivered | Diff analysis + RunReport with JSON export |
Optional hooks:
- Step 3.5 — LLM code generation applies an opt-in unified diff between build and lint.
- Step 11 — Deploy trigger posts an opt-in webhook after PR creation and attempts a ticket status update.
Before any mutable delivery step, SendSprint builds a read-only DeliveryPlan.
That plan now carries deterministic task understanding (sendsprint/task_understanding.py),
portfolio-aware routing (sendsprint/routing.py), selected repos, branch/target
branches, validation templates, route confidence, and low-confidence warnings.
Plan-only autonomy reports weak routes; side-effecting autonomy blocks low-confidence
routes until the task or workspace supplies clearer repo, project, role, surface,
or capability signals.
Transport priority: mcp -> api -> playwright.
Requirements
- Python
>=3.11 - Playwright (
playwright install chromium) - Optional: Jira API token / Azure DevOps PAT, or Atlassian / Azure DevOps MCP server
Install
git clone https://github.com/wesleysimplicio/SendSprint.git
cd SendSprint
pip install -e .
playwright install chromium
cp .env.example .env # fill in credentials
Quick start
CLI
# Full 10-step flow against a Jira sprint
sendsprint run jira 42 --workspace workspace.yaml --scope mine -o report.json
# Same flow with opt-in LLM patch generation and deploy callback
sendsprint run jira 42 --workspace workspace.yaml --scope mine --llm-codegen --deploy
# Full flow against Azure DevOps
sendsprint run azuredevops "Team\\Sprint 12" --repo ./repo
# Validate environment/sprint safety before delivery
sendsprint preflight azuredevops "Team\\Sprint 12" --workspace workspace.yaml
# Plan branches/repos/PR targets without writing files or opening PRs
sendsprint run azuredevops "Team\\Sprint 12" --workspace workspace.yaml --dry-run
# Persist the same route plan as JSON for review or Web/API comparison
sendsprint run azuredevops "Team\\Sprint 12" --workspace workspace.yaml --dry-run --plan-output route-plan.json
# Build the localhost route preview used by Web preparation flows
curl -X POST http://127.0.0.1:8765/runs/preview \
-H "content-type: application/json" \
-d '{"provider":"azuredevops","sprint_id":"Team\\\\Sprint 12","mode":"all","workspace_path":"workspace.yaml"}'
# Resume a previous run idempotently
sendsprint run azuredevops "Team\\Sprint 12" --workspace workspace.yaml --run-id sprint-12
# Inspect tuple DAG + receipt cost rollup
sendsprint sprint inspect tuple-20260519T120000-abcd1234 --cost
# Emit one yool directly through the shared CLI/MCP dispatch path
sendsprint sprint dispatch agent.codex.plan --payload '{"story":"APP-1"}'
# Browse the spec-shaped HAMT catalog
sendsprint sprint catalog list
sendsprint sprint catalog find "/codex/"
sendsprint sprint catalog show agent.codex.plan
# Watch assigned tasks periodically in conservative planning mode
sendsprint watch --workspace workspace.yaml --autonomy plan
# Continuous full mode with maximum autonomy and dashboard bootstrap
sendsprint full --workspace workspace.yaml
# Persist your local operational defaults
sendsprint configure-defaults --repo . --workspace workspace.yaml
# Watch once without changing repos or watch-state
sendsprint watch --workspace workspace.yaml --dry-run
# Detect tech stack
sendsprint detect-tech ./repo
# Check architecture mapping (with auto-build if missing)
sendsprint check-architecture ./repo --build
# Sync latest agentic-starter scaffold files into a repo
sendsprint sync-agentic-starter ./repo --ref latest
Python
from sendsprint.flow import SprintFlow
from sendsprint.operators import JiraOperator
from sendsprint.workspace import load_workspace
from sendsprint.scope import build_scope
ws = load_workspace("workspace.yaml")
scope = build_scope(mode="mine", user_email="dev@example.com")
flow = SprintFlow(operator=JiraOperator(), workspace=ws, scope=scope)
result = flow.run(sprint_id=42)
print(result.run_report.summary)
Read a sprint only
from sendsprint.operators import JiraOperator
op = JiraOperator(
base_url="https://your-org.atlassian.net",
transport="auto",
)
sprint = op.read_sprint(sprint_id=42)
for item in sprint.items:
print(f" [{item.type}] {item.key} - {item.title} ({item.status})")
Route preview surfaces
CLI dry-runs and the Web/API route preview share the same planning path:
SprintFlow.bootstrap(..., dry_run=True) -> build_delivery_plan(...). Use
sendsprint run ... --dry-run or sendsprint sprint ... --dry-run for terminal
review, optionally with --plan-output on sendsprint run. Use POST /runs/preview or POST /api/runs/preview for the localhost API contract. Both
surfaces expose selected repos, route confidence, low-confidence items, task
scope source, and validation commands without writing files, branches, commits,
PRs, receipts, or watch state.
Tuple runtime surfaces
SendSprint now boots mutable delivery through the yool/tuple runtime. The main
delivery path builds a DAG by seeding one worker-root tuple per item/repo route
and letting lane subscribers (dev -> lint -> test -> security -> pr) append
follow-up tuples. Receipts provide cross-run cache and resume, while inspect
renders the tuple DAG and cost rollup.
.catalog/agents.json— spec-shaped HAMT catalog generated bypython scripts/build_agent_catalog.pysendsprint sprint catalog ...— list/find/show yoolssendsprint sprint dispatch ...— append one tuple into.sendsprint/tuples/<run_id>.ndjsonsendsprint sprint inspect <run_id> --cost— inspect tuple DAG + receipt rollupsendsprint sprint resume <run_id|tuple_id>— replay pending tuples from the append-only logsendsprint run ... --no-cache/sendsprint sprint ... --no-cache— bypass receipt reuse for a fresh execution pass- MCP:
sendsprint_snapshot,sendsprint_dispatch,sendsprint_inspect
Multi-repo workspace
Define repos in workspace.yaml:
name: my-project
root_path: /home/dev/repos
new_projects_dir: Projetos/novos
pr_provider: github
default_base_branch: develop
branch_name_template: feature/{number}-{title}
pr_reviewers:
- reviewer@example.com
required_pr_reviewers:
- lead@example.com
code_generation:
enabled: false
provider: anthropic
model: claude-opus-4-7
max_usd: 1.0
max_tokens: 8000
deploy:
enabled: false
provider: webhook
url: https://deploy.example.com/hooks/sendsprint
final_status: Deployed
watch:
enabled: true
provider: azuredevops
interval_minutes: 15
scope: assigned_to_me
allowed_states:
- New
ignored_states:
- Removed
- Closed
- Done
work_item_types:
- Task
iteration_path: Team\\Sprint 12
max_tasks_per_cycle: 1
require_clean_worktree: true
evidence_required: true
playwright_required_for_front: true
create_pr: true
pr_target_branch: develop
repos:
- name: backend-api
path: backend-api
role: api
tech: dotnet
default_branch: main
pr_target_branch: develop
# Optional per-repo reviewer rules:
# required_pr_reviewers:
# - daniel.ribeiro_ext@interplayers.com.br
# Optional per-repo override:
# branch_name_template: hotfix/{number}-{title}
- name: frontend-web
path: frontend-web
role: front
tech: angular
- name: mobile-app
path: mobile-app
role: mobile
tech: flutter
Portfolio/project mode can group repos before flattening them into the same
WorkspaceConfig.repos list used by existing flow code. Project-owned repos
inherit project from key or name unless the repo overrides it.
name: commerce-workspace
root_path: .
portfolio:
name: Commerce
owners: [platform-office]
capabilities: [checkout, payments]
projects:
- key: payments
name: Payments
owners: [team-payments]
capabilities: [payment-processing]
components: [checkout, ledger]
routing_hints:
labels: [payments]
areas: [Checkout]
repos:
- name: payments-api
path: apps/payments-api
role: api
tech: python
capabilities: [capture, refund]
components: [api, worker]
routing_hints:
labels: [scope:back]
validation_commands:
- ruff check sendsprint
- pytest tests -q
- name: checkout-web
path: apps/checkout-web
role: front
tech: react
routing_hints:
labels: [scope:front]
validation_commands:
- npm test
- npx playwright test
Routing uses explicit labels first (repo:payments-api, project:payments,
scope:front, surface:api, capability:refund), then structured task
understanding, workspace/project metadata, tech fingerprints, operational
memory, and finally backwards-compatible front/back inference.
Azure DevOps MCP can be configured for Codex with:
sendsprint install-ado-mcp --organization my-org --project "Projetos Ágeis" --team "Squad Yankee"
SendSprint can also expose its own deterministic tooling as an MCP stdio server:
sendsprint mcp-serve
Current default MCP tools:
sendsprint_detect_techsendsprint_check_architecturesendsprint_version
The transport uses JSON-RPC 2.0 with Content-Length framing so Claude Code
and similar hosts can launch it directly.
When a User Story has no child tasks, SendSprint creates in-memory front/back
tasks before delivery. Generated tasks keep parent_key pointing to the story
and labels scope:front / scope:back, so each task runs only against matching
workspace repos.
Architecture
sendsprint/
├── operators/ JiraOperator, AzureDevopsOperator (mcp|api|playwright)
├── models/ Sprint, SprintItem, StepReport, RunReport (Pydantic v2)
├── agents/
│ ├── worktree.py Git worktree isolation for parallel branches
│ ├── dev.py Install + build per tech stack (16 package managers)
│ ├── lint_runner.py Static analysis per tech (19 linters)
│ ├── test_runner.py Unit + E2E with screenshot evidence
│ ├── security_reviewer.py Secret scan, env audit, npm audit
│ ├── pr_creator.py GitHub (gh) / Azure DevOps (REST) PR creation
│ └── pr_reviewer.py Diff static checks (TODO, debug, long lines)
├── architecture/
│ ├── mapper.py Weighted architecture scoring
│ └── builder.py Auto-generate baseline docs
├── tech/
│ └── detector.py Filesystem marker detection (25+ techs)
├── workspace/
│ └── loader.py YAML/JSON multi-repo workspace config
├── scope.py --scope mine filtering (account_id, email, name)
├── flow/
│ └── sprint_flow.py orchestrator + opt-in codegen/deploy hooks
├── llm/ Provider-agnostic LLM client
└── cli.py Typer CLI
Environment variables
| Variable | Required for |
|---|---|
JIRA_BASE_URL |
Jira API |
JIRA_EMAIL |
Jira API |
JIRA_API_TOKEN |
Jira API |
AZURE_DEVOPS_ORG |
Azure DevOps API |
AZURE_DEVOPS_PROJECT |
Azure DevOps API |
AZURE_DEVOPS_PAT |
Azure DevOps API |
PLAYWRIGHT_CDP_URL |
Playwright fallback (default http://127.0.0.1:9222) |
LLM_PROVIDER |
LLM step (optional) |
LLM_MODEL |
LLM step (optional) |
Assistant Integrations
Per-platform reference manifests live under skills/. SendSprint can also
install repo-local plugin adapters for the main assistant hosts:
sendsprint plugins list
sendsprint plugins install --repo . --all
| File | Platform |
|---|---|
skills/claude/SKILL.md |
Claude Code |
skills/codex/AGENTS.md |
Codex / OpenAI |
skills/hermes/hermes.md |
Hermes Agent |
skills/openclaw/openclaw.md |
Openclaw |
skills/copilot/copilot-instructions.md |
GitHub Copilot |
skills/cursor/sendsprint.mdc |
Cursor |
skills/windsurf/sendsprint.md |
Windsurf |
skills/kiro/sendsprint.md |
Kiro |
skills/zed/sendsprint.md |
Zed |
skills/cline/.clinerules |
Cline |
skills/continue/config.json |
Continue |
skills/aider/CONVENTIONS.md |
Aider |
skills/cody/sendsprint.md |
Sourcegraph Cody |
Generated adapters target .claude/skills/sendsprint/SKILL.md,
AGENTS.md, .hermes/skills/sendsprint.md,
.openclaw/skills/sendsprint.md, .cursor/rules/sendsprint.mdc,
.windsurf/rules/sendsprint.md, .kiro/steering/sendsprint.md,
.antigravity/rules/sendsprint.md, and .github/copilot-instructions.md.
Each adapter references the same Python core; the host assistant delegates to
sendsprint doctor, sendsprint web, sendsprint sprint,
sendsprint watch, and sendsprint full instead of reimplementing the
pipeline. See docs/PLUGIN_ADAPTERS.md.
Tests
pip install -e ".[dev]"
pytest tests/ -v
The suite covers operators, architecture mapper/builder, tech detector, scope filtering, workspace loading, CLI overrides, and all delivery agents including codegen/deploy orchestration.
Roadmap
- Step 1 - Sprint reading (Jira + Azure DevOps, MCP / API / Playwright)
- Step 2 - Architecture mapping + auto-build baseline docs
- Step 3 - Dev agent (tech detection, worktree isolation, install + build)
- Step 4 - Test runner (unit + Playwright E2E with screenshot evidence)
- Step 5 - Security reviewer (flag-only: secrets, env, npm audit)
- Step 6 - Fix loop (re-build + re-test, max 3 rounds)
- Step 7 - PR creation (GitHub gh CLI + Azure DevOps REST)
- Step 8 - PR review (diff static checks)
- Step 9 - RunReport with full evidence
- Multi-repo workspace support (workspace.yaml)
-
--scope minecurrent-user filtering - LLM-powered code generation per sprint item
- Deploy trigger + status callback to ticket
- MCP server mode (expose SendSprint as an MCP tool)
Personal use and operator authorization
SendSprint is a personal utility. Practical implications:
- No hosted service exists. There is no SaaS dashboard, no managed tenant, no
billing portal. Everything runs from your terminal against
localhost. - You are the operator. Every Jira/ADO read, every git operation, every PR
is initiated by a human launching
sendsprint sprint(or starting the local API). The tool never acts on its own schedule. - Company repos are run under your authority. When you point SendSprint at a company repo, you are using your existing access — same credentials and same branches you'd use by hand. No new permission boundary is introduced.
- Public utility. This repo is MIT-licensed on GitHub. Other engineers can
install it the same way (
pip install -e .) and run it on their own machines against their own work. There is no commercial offering planned.
If you ever want a hosted/multi-tenant version, fork the repo and build it yourself — the architecture is intentionally local-first.
License
MIT - see LICENSE.
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