We outscore Claude Code and OpenCode on Terminal-Bench 2.0 — a full model tier down, at a third of the cost.
It decomposes the work, executes each step in isolated context, and verifies before moving on — for as long as it takes.
Most agents lose the plot on long tasks. pre.dev plans up front, holds state in persistent memory, and verifies every step.
Before writing a line, pre.dev researches the goal and decomposes the full build—milestones, stories, subtasks. Then executes it autonomously.
Kick off a build and focused agents tackle each task in isolated context. No prompting, no babysitting—just verified code landing in your repo.
ProThe agent can't mark a task complete until it passes type checks, linting, and visual browser verification. No more 'looks good but is broken.'
Hero section renders with gradient background and CTA redirects to /signup
TypeScript compilation passes with no errors and all unit tests succeed
API response under 200ms and error handling shows user-friendly messages
Every completed task opens a feature branch and PR. The agent never pushes to main. You review and merge on your terms.
feat(Setup): Write concise design aesthetic/rules
PR: ## Node: Setup · Show more
Reverse-engineers existing repos, adapts to any stack, and keeps building—no starting from scratch.
Connect your services once. Agents use them automatically while they build.
Neural search with Exa Fast (<350ms), Exa Auto for intelligent routing, Exa Deep for agentic multi-step retrieval, and /research endpoint for automated in-depth analysis with citations
Real-time search API with Search, Extract, Map, and Crawl endpoints optimized for RAG. SOC-2 certified, trusted by 800K+ developers, with MCP server support
Sonar models with web-grounded LLM responses at 1200 tokens/sec. Features search modes (High/Medium/Low), Pro Search with multi-step reasoning, and Deep Research for complex analysis
Independent 30B+ page index with AI Grounding for RAG, rich snippets, Goggles for result re-ranking, and multi-endpoint support (web, images, news, local). Powers Claude MCP and major AI apps
Web Search API with Express (search+answer in one call), Contents API for page extraction, and News/Image APIs. 99.9% uptime, enterprise-grade with Databricks and AWS integrations
Web-to-markdown with /scrape, /crawl, /map, /search, and /extract endpoints. Features /agent for complex navigation, natural language prompts (no CSS selectors), and 98% extraction accuracy
Ultra-fast Google Search API with 1-2 second responses, 300 queries/sec, web/images/news/videos/maps endpoints, and MCP server support. Pricing from $0.30/1K queries
Scrape 80+ search engines with Google AI Mode API for GEO optimization, AI Overviews support, Travel Explore API, and MCP server for AI agents. Auto CAPTCHA solving and proxy rotation
Serverless browser infrastructure with Stagehand v3 SDK (act/extract/observe/agent). 44% faster, multi-language support, self-healing automation, session replay, and CAPTCHA solving
10,000+ pre-built Actors for any website, Crawlee library for custom crawlers, MCP server for AI agents, and integrations with LangChain/LlamaIndex/vector DBs. 48K+ GitHub stars
Reader API (r.jina.ai) for URL-to-markdown with ReaderLM-v2, Search API (s.jina.ai), jina-embeddings-v4 (multimodal 30+ languages), and jina-reranker-v3. Single key for all services
Web scraping API with headless browser rendering, automatic proxy rotation, AI-powered natural language extraction, CAPTCHA solving, and Stealth Proxy (beta) for hard-to-access sites
Agents run for hours, days, or weeks—holding state across the entire task instead of losing it mid-build.
Your code runs in an isolated environment. Build with confidence—zero risk to production.
Any framework, any language. The agent adapts to your stack, not the other way around.
Model any combination of services and their interactions in a single sandbox environment. Frontend, backend, database, cache, and more.
Start for free. Upgrade anytime.
Real apps planned, built, and deployed end to end.

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. 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. 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. 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. 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.
Hand off the whole build and review the PRs.