Dev Tools Infrastructure

Backend teams that think like your users.

Dev tool companies have a backend problem that other verticals don't: your users are engineers. p99 latency shows up in their dashboards. A leaky abstraction in your API becomes a GitHub issue in 24 hours. The backend team you hire has to hold that standard.

High-throughput API backends

Your users instrument everything — CI runs, deploys, test results, log events. Millions of events per day isn't a future state. It's month two. The ingestion layer needs to be right from the start.

Plugin and extensibility systems

Webhook delivery at scale. Plugin lifecycle management. Custom execution sandboxes. SDK contract stability across versions. The extensibility layer is where most dev tool companies accumulate technical debt quietly.

Real-time streaming and push

Log tailing. Build progress. Pipeline execution status. Developers expect sub-second feedback. WebSocket management, SSE delivery, and the backpressure logic that keeps it stable under load.

Developer-facing API design

REST and gRPC API ergonomics that developers won't complain about publicly. Versioning strategy, rate limiting with meaningful error messages, pagination patterns that don't require three StackOverflow tabs to implement.

Stack coverage for dev tools
Go gRPC Kafka PostgreSQL Redis WebSockets / SSE OpenTelemetry Kubernetes

Why engineer-users raise the bar

Most SaaS companies can ship a mediocre API and fix it later. Dev tool companies can't — their users will find every rough edge, benchmark it, and write about it. This means your backend engineers need to hold a higher standard on API design, performance, and observability instrumentation.

The engineers Fulmenflux places are screened for production-grade Go and distributed systems depth. Not engineers who've read the books. Engineers who've debugged the goroutine leaks, tuned the GC, and shipped the gRPC API that got benchmarked by a user blog post and survived.

Common workstreams for dev tool companies
  • Event ingestion at millions of events/day
  • Plugin system and webhook delivery infrastructure
  • Real-time log streaming and build progress
  • Public API design and versioning strategy
  • SDK backend contract and stability layer
  • Usage metering and usage-based billing backends
  • Internal developer platform and CI/CD infra
  • Observability and SLO infrastructure

Building a dev tool at Series B?

30 minutes. We'll tell you whether we're a fit and what team shape makes sense.

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