Developers and Integrations Overview

Zyplo supports integration-first workflows for engineering teams that automate task lifecycle and reporting.

Use API endpoints, webhooks, and internal tooling to connect Zyplo with your delivery stack.

Build integrations incrementally: start with read-only sync, then add controlled write operations.

API Foundations

Authentication and Identity

Use token-based auth for server-to-server calls and ensure token rotation practices are in place.

Always resolve user identity from trusted token claims instead of client-provided values.

For profile endpoints, protect immutable identity fields such as email unless explicit workflow allows change.

Resource Model

Core resources include users, workspaces, projects, boards, tasks, notifications, activities, invites, and time logs.

Maintain consistent ID handling across services, especially when converting string IDs to ObjectId values.

Use strict validation for route params and payloads to reduce silent data corruption.

Webhooks and Event Design

Event Contracts

Define explicit event names and payload schemas for task_created, task_updated, task_status_changed, and task_deleted.

Include actor context, previous value, and next value for state transitions.

Add idempotency keys to webhook delivery payloads where retries are possible.

Delivery Reliability

Retry transient webhook failures with exponential backoff.

Store delivery logs for observability and replay.

Set signature verification for incoming webhook receivers.

Integration Guides

GitHub Integration

Link pull requests and commits to task IDs in commit messages.

Update task status on PR open, review request, merge, and close events.

Post deployment references back into task comments for release traceability.

Slack Integration

Send targeted task alerts to project channels by status or due date triggers.

Allow quick task creation from message shortcuts.

Avoid channel noise by batching low-priority updates.

Internal Ops Tooling

Build lightweight admin tools to audit workspace settings, stale tasks, and notification anomalies.

Use read models for analytics dashboards instead of heavy live queries against transactional collections.

Document internal scripts and ownership so tooling remains maintainable.

Performance and Governance

Index query-heavy fields such as userId, workspaceId, read, and createdAt for notification and activity workloads.

Normalize status values at write time to reduce duplicate event and notification generation.

Keep migration notes for schema changes in versioned docs so integration consumers can adapt safely.

Run regular payload and latency audits for endpoints used by dashboard bootstrap and live updates.