AI + mobile products, engineered past the hard parts.

Respawn helps founders and product teams rescue unstable software, design complex systems, and ship faster across mobile, backend, and applied AI.

Production performance improvements Three measured engineering outcomes: startup time reduced from 17 seconds to 1.7 seconds, game load time reduced from 40 seconds to 2.4 seconds, and crash-free sessions improved from 92 percent to 99.95 percent.
Startup 17s 1.7s
Game load 40s 2.4s
Crash-free 92% 99.95%

Measured in production. Fixed at the system level.

Diagnose honestly. Design the root fix. Leave the system stronger.

Bring us the part nobody wants to own.

The codebase that became untouchable. The architecture blocking the roadmap. The team shipping slower every quarter. That is the work.

01

Rescue production

Find the architectural, performance, and stability failures behind bad metrics—then remove the cause instead of patching the symptom.

Codebase health · startup · freezes · crashes · delivery bottlenecks
02

Design the hard system

Turn an ambitious product into an executable architecture across mobile, backend, data, AI, and the boundaries between them.

Android · iOS · Kotlin Multiplatform · backend · applied AI
03

Make the team faster

Improve developer experience, introduce useful AI workflows, and transfer the system knowledge your team needs to keep shipping.

DevEx · AI enablement · training · technical leadership

Software has opinions. Production has receipts.

Every engagement is judged by observable behavior: speed, stability, product performance, and the team’s ability to keep moving after the work is done.

17s → 1.7s

App startup

A production startup path rebuilt around the actual critical path.

40s → 2.4s

Game loading

A game-loading architecture redesigned to remove systemic waiting.

92% → 99.95%

Crash-free

Production stability recovered by tracing failures to their owners.

1M+

Daily users

Hands-on engineering inside products operating at real consumer scale.

No theatre. One useful loop.

Start with evidence, find the highest-leverage constraint, fix it deeply, and transfer enough context that the improvement survives.

  1. 01

    See the real system

    Code, metrics, product behavior, and team constraints—not the tidy diagram.

  2. 02

    Choose the leverage point

    Prioritize the change that removes the most drag without creating a second mess.

  3. 03

    Ship and transfer

    Deliver the result, prove it, and leave the team able to extend it safely.

The architecture is public.

Respawn builds tools for the same constraints we solve in client systems: explicit failure, reusable behavior, fast feedback, and code that agents and humans can navigate.

View Respawn on GitHub

Let’s fix the hard part.

Bring one technical problem. Leave the first call with three high-leverage fixes and a practical plan.