AI Coding Infrastructure Built for Developers, Not Token Counters.
We're exploring a new approach to AI coding infrastructure that prioritizes affordability, predictable usage, and developer workflows.
Built for developers using Cursor, Claude Code, Cline, OpenHands, Aider and modern coding agents.
AI Coding Is Becoming Expensive.
Developers are increasingly relying on AI for everyday coding tasks, but costs are growing rapidly.
Between subscriptions, API credits, usage limits, and multiple tools, AI-assisted development can become surprisingly expensive.
Rising Costs
Many developers now spend between $50 and $200+ every month on AI coding tools.
Fragmented Workflows
Different tools, providers, models and subscriptions create unnecessary complexity.
Usage Limits
Heavy users often run into throttling, rate limits and unpredictable availability.
Scaling Challenges
What works for a solo developer becomes much more expensive for teams and agencies.
Built for Modern AI Workflows.
Developer First
Designed around the way developers actually use AI today—from Cursor sessions to autonomous coding agents.
Infrastructure Focused
We're researching how AI workloads can be delivered more efficiently through better infrastructure and smarter resource allocation.
Cost Conscious
Exploring new ways to reduce the growing cost of AI-assisted development without compromising usability.
Future Ready
Built around the belief that AI agents will become a permanent part of the software development lifecycle.
The Future of AI Development.
AI is no longer a feature. It's becoming a fundamental layer of software engineering.
As developers increasingly rely on coding agents, autonomous workflows, and AI-assisted development, infrastructure becomes the bottleneck.
We're exploring what the next generation of AI infrastructure should look like.
- Efficient
- Predictable
- Developer-centric
- Scalable
Why We're Building This.
The economics of AI coding are moving in the wrong direction. We think there's a better shape for the infrastructure underneath it — and we want to prove it with developers before writing a line of platform code.
Every month developers spend more on AI subscriptions, API credits, and fragmented tooling.
At the same time, AI infrastructure becomes increasingly complex and expensive.
We believe there is an opportunity to rethink how AI compute is delivered and consumed.
Before building, we're talking directly with developers to understand what matters most.
Validating before building.
Ininfer is currently in research and validation. We're speaking with developers to understand whether AI coding infrastructure can be significantly more affordable without sacrificing usability.
- Q1 2025
Concept & problem framing
Mapped developer spend on AI coding tools against actual model usage. Found a clear gap between solo developer budgets and frontier model access.
Complete - Q2 2025
Developer interviews
Running 30+ structured conversations with developers using Cursor, Claude Code, OpenHands, Cline, Aider, and OpenCode. Learning where the real cost and friction lives.
In progress - Q3 2025
Architecture review
Designing the shared inference layer: routing, warm caches, context handling, and pricing model. Internal prototype, no public traffic.
Upcoming - TBD
Closed beta
Small group of waitlist members. We'll iterate based on real workloads before any wider launch.
Upcoming
Join The Research Program.
Help shape the future of AI coding infrastructure.
By joining the waitlist you'll:
- Get early access opportunities
- Share feedback directly
- Influence product direction
- Receive research updates
No spam.
No marketing fluff.
Just honest conversations with developers.
Get on the list.
We're opening a small closed beta. Tell us how you work today and you'll hear from us the moment there's a spot.