The Problem
AI made it feel possible.
But you still can't get it done.
Every company has
hundreds of tickets
sitting in the backlog
Features that
should be possible now
with AI - but aren't shipping
Hiring takes
months to ramp up
and doesn't scale down
How It Works
Like onboarding a freelancer.
But better.
Step 1
Invite us in
Add Resonance Labs as a user in your environment. Same as onboarding any team member.
Step 2
Assign work
Assign tickets, SOWs, or tasks to Resonance in your existing systems. Jira, Linear, GitHub - whatever you use.
Step 3
We execute
Full cycle: requirements gathering, implementation, review, and delivery. We ask questions when needed.
Step 4
Get outcomes
Shipped features. Merged PRs. Cleared tickets. Your backlog, zeroed.
What You Get
Not just code.
Outcomes.
AI-Augmented Execution
We leverage frontier AI to move fast, but humans own every decision and delivery.
Proactive Architecture Proposals
We see patterns in your codebase. When we spot improvements, we suggest them.
Requirement Clarification
Gaps in the spec? We ask before building the wrong thing. No surprises.
Full Cycle Delivery
From ticket to merged PR. We handle the entire workflow, not just the coding part.
Elastic Capacity
Need more throughput? Add another workstream. Need less? Scale back. No hiring headaches.
Accountability
We own the outcome. You don't debug our output - we deliver working solutions.
Scale
One workstream or ten.
You decide.
1
Resonance Workstream
Start with one dedicated workstream. Perfect for testing the model and clearing your most critical backlog items.
2-3
Parallel Workstreams
Tackle multiple initiatives simultaneously. Different features, different repos, or different priorities.
n
Workstreams
Scale to match your ambition. Aggressive roadmap? Zero that backlog faster with more parallel capacity.