The coding agent built for long-horizon tasks
It plans before it codes, remembers across sessions, and runs for hours at a fraction of the cost.
or install the CLI
Trusted by startups from
Plan, build, verify, ship. All of it, without you prompting it through every step.
1/5 Describe
Say what you want built.
2/5 Plan
Architecture and a roadmap, before any code.
3/5 Build
It writes the code and shows its work.
4/5 Verify
Nothing closes until it is proven.
5/5 Ship
It lands in your GitHub, with a live preview.
Connect it once, and every agent uses it while it builds.
1/4 Connections
One OAuth each. 25 services across 9 categories.
2/4 API keys
Your providers, your billing. Encrypted, injected at build time.
3/4 Agent skills
Standing instructions, injected into every conversation.
4/4 MCP servers
Whole tool sets, over stdio, HTTP or SSE.
Integrations
Same project, same plan, same board, whichever door you come through.
pre.dev:We outscore Claude Code and OpenCode on Terminal-Bench 2.0, a full model tier down, at a third of the cost.
Start for free. Upgrade anytime.
Verified RL tasks from private production codebases. One training run took Qwen3.8-27B from 1.4% to 5.4%.
Production browser agents: 100/100 on the public benchmark at $0.0159 a task, head-to-head with Browser Use Cloud.
Alex Thompson
Founder & CEO at StartupFlow
It planned the whole build before touching code, then ran for hours and opened clean PRs. I reviewed diffs instead of babysitting prompts.
Maria Rodriguez
Staff Engineer at InnovateLab
It handled a multi-file refactor across our codebase without losing context halfway through. The persistent memory is the part other agents get wrong.
David Kim
CTO at TechVenture
Nothing gets marked done until it passes type checks, lint, and browser verification. We stopped getting "looks good but is broken" PRs.
Nicolas Zander
Founder at CleverCompliance
The upfront planning is what sold me. It decomposes the work into a dependency graph before it writes a line. Mindblowingly good.
Max Kryzhanovskiy
Lead Engineer at MosCreative
I've run it across three different model providers depending on the job. Being model-agnostic means I'm never locked in or overpaying on tokens.
Alex Thompson
Founder & CEO at StartupFlow
It planned the whole build before touching code, then ran for hours and opened clean PRs. I reviewed diffs instead of babysitting prompts.
Maria Rodriguez
Staff Engineer at InnovateLab
It handled a multi-file refactor across our codebase without losing context halfway through. The persistent memory is the part other agents get wrong.
David Kim
CTO at TechVenture
Nothing gets marked done until it passes type checks, lint, and browser verification. We stopped getting "looks good but is broken" PRs.
Nicolas Zander
Founder at CleverCompliance
The upfront planning is what sold me. It decomposes the work into a dependency graph before it writes a line. Mindblowingly good.
Max Kryzhanovskiy
Lead Engineer at MosCreative
I've run it across three different model providers depending on the job. Being model-agnostic means I'm never locked in or overpaying on tokens.
Alex Thompson
Founder & CEO at StartupFlow
It planned the whole build before touching code, then ran for hours and opened clean PRs. I reviewed diffs instead of babysitting prompts.
Maria Rodriguez
Staff Engineer at InnovateLab
It handled a multi-file refactor across our codebase without losing context halfway through. The persistent memory is the part other agents get wrong.
David Kim
CTO at TechVenture
Nothing gets marked done until it passes type checks, lint, and browser verification. We stopped getting "looks good but is broken" PRs.
Nicolas Zander
Founder at CleverCompliance
The upfront planning is what sold me. It decomposes the work into a dependency graph before it writes a line. Mindblowingly good.
Max Kryzhanovskiy
Lead Engineer at MosCreative
I've run it across three different model providers depending on the job. Being model-agnostic means I'm never locked in or overpaying on tokens.
Alex Thompson
Founder & CEO at StartupFlow
It planned the whole build before touching code, then ran for hours and opened clean PRs. I reviewed diffs instead of babysitting prompts.
Maria Rodriguez
Staff Engineer at InnovateLab
It handled a multi-file refactor across our codebase without losing context halfway through. The persistent memory is the part other agents get wrong.
David Kim
CTO at TechVenture
Nothing gets marked done until it passes type checks, lint, and browser verification. We stopped getting "looks good but is broken" PRs.
Nicolas Zander
Founder at CleverCompliance
The upfront planning is what sold me. It decomposes the work into a dependency graph before it writes a line. Mindblowingly good.
Max Kryzhanovskiy
Lead Engineer at MosCreative
I've run it across three different model providers depending on the job. Being model-agnostic means I'm never locked in or overpaying on tokens.
Cynthia Colmenares
Founder at Jack Frost Design
Every task lands as its own feature branch and PR. It never pushes to main, and it slots into the exact GitHub workflow our team already runs.
Ksenia Snegireva
CTO at Y-Tech
Each agent gets exactly the context it needs in an isolated sandbox, not our whole repo crammed into one window. The token savings on long runs are real.
Gleb Tertychnyi
Founder at WPWP
I pointed it at our existing repo and it reverse-engineered the architecture and kept building in our patterns. No starting from scratch.
Rick Wong
Founder at DataSaa
It kicked off the whole roadmap in one run and the agents worked through the dependency graph on their own. Genuinely long-horizon, not a glorified autocomplete.
Cynthia Colmenares
Founder at Jack Frost Design
Every task lands as its own feature branch and PR. It never pushes to main, and it slots into the exact GitHub workflow our team already runs.
Ksenia Snegireva
CTO at Y-Tech
Each agent gets exactly the context it needs in an isolated sandbox, not our whole repo crammed into one window. The token savings on long runs are real.
Gleb Tertychnyi
Founder at WPWP
I pointed it at our existing repo and it reverse-engineered the architecture and kept building in our patterns. No starting from scratch.
Rick Wong
Founder at DataSaa
It kicked off the whole roadmap in one run and the agents worked through the dependency graph on their own. Genuinely long-horizon, not a glorified autocomplete.
Cynthia Colmenares
Founder at Jack Frost Design
Every task lands as its own feature branch and PR. It never pushes to main, and it slots into the exact GitHub workflow our team already runs.
Ksenia Snegireva
CTO at Y-Tech
Each agent gets exactly the context it needs in an isolated sandbox, not our whole repo crammed into one window. The token savings on long runs are real.
Gleb Tertychnyi
Founder at WPWP
I pointed it at our existing repo and it reverse-engineered the architecture and kept building in our patterns. No starting from scratch.
Rick Wong
Founder at DataSaa
It kicked off the whole roadmap in one run and the agents worked through the dependency graph on their own. Genuinely long-horizon, not a glorified autocomplete.
Cynthia Colmenares
Founder at Jack Frost Design
Every task lands as its own feature branch and PR. It never pushes to main, and it slots into the exact GitHub workflow our team already runs.
Ksenia Snegireva
CTO at Y-Tech
Each agent gets exactly the context it needs in an isolated sandbox, not our whole repo crammed into one window. The token savings on long runs are real.
Gleb Tertychnyi
Founder at WPWP
I pointed it at our existing repo and it reverse-engineered the architecture and kept building in our patterns. No starting from scratch.
Rick Wong
Founder at DataSaa
It kicked off the whole roadmap in one run and the agents worked through the dependency graph on their own. Genuinely long-horizon, not a glorified autocomplete.
AI labs license private codebases to train coding models. Connect a Git account, pick only the repos you're willing to license, and see what each one is worth.
What you'll earn
$6,000
per repo
non-exclusive licence, paid Net 15 after funds land
Example grades. Yours come from your own repos once they are analysed.
It plans it, builds it, proves it works, and ships it.
