Schema evolution
Versioned payloads, nullable rollouts, and migration scripts so partners can lag without breaking your production consumers.
Senior-led execution. Clear milestones. Production discipline.
Connect your product to the tools your customers already use—webhooks, batch syncs, and idempotent jobs that survive retries and partial failures.
Idempotent
Webhook handlers
DLQ
Poison message safety
Replay
Auditable backfills
Outcomes you can measure
What “done” looks like
Typical stack
We map rate limits, auth rotations, pagination quirks, and data ownership before coding. Idempotency keys, dead-letter queues, and reconciliation jobs are first-class—not weekend hacks.
Sandboxes, flaky docs, and version drift—we have been there. Adapters are tested against contract fixtures and contract tests run in CI so upstream changes fail loudly in staging.
Your users see clear sync status, timestamps, and retry affordances. Support tooling gets correlation IDs across systems so tickets do not bounce between teams.
Capabilities
Versioned payloads, nullable rollouts, and migration scripts so partners can lag without breaking your production consumers.
Refresh token rotation, clock skew buffers, and re-auth UX that does not strand users mid-checkout.
Bulk endpoints, cursor pagination, and worker autoscaling tuned to vendor rate limits—not optimistic defaults.
Deliverables
Endpoints, payloads, and SLAs agreed with stakeholders.
Connector services
Workers, queues, and monitoring for each integration.
Runbooks
Common failure modes and operator steps.
Data lineage
Source-of-truth matrix and conflict resolution policy per entity.
Delivery rhythm
Align
Stakeholder workshops, success metrics, and constraint map so engineering decisions trace back to business intent.
Blueprint
Architecture sketch, integration list, milestone plan, and explicit risks—signed off before high-velocity build.
Build & prove
Sprint demos, code review, automated tests, and staging gates. You see working software every week, not slides.
Ship & evolve
Production cutover, observability, runbooks, and a sane handover—plus a backlog-ready rhythm for v1.1 and beyond.
FAQ
Record/replay fixtures, vendor sandboxes, and synthetic payloads for edge cases. Where sandboxes are weak, we negotiate limited prod read mirrors with strict scopes.
Contract tests + monitoring on error shape deltas. We subscribe to vendor changelogs and pin SDK versions with a deliberate upgrade cadence.
We pick per integration: near-real-time queues for user-visible actions; scheduled batches for heavy reconciliation. Hybrid is common.
Vendors remain responsible for their uptime; we own clear abstraction layers, retries, and user-visible status inside your product SLAs.
REST/GraphQL APIs and deep integrations across CRM, ERP, payments, and third-party tools.
Next step
Tell us what you are building next.
We will suggest a discovery slice, rough timeline, and the smallest team that can own outcomes end-to-end.