Blitzy enables development teams to transform six-month software projects into six-day turnarounds using Blitzy OS, an agentic platform that enables thousands of AI Agents to 'think' and cooperate for hours to bulk build software with precision. The platform builds everything AI can deliver in a precise manner, around 80% of any roadmap or new product, supplemented with a human engineering guide to complete the remaining 20% needed for production. With over 27 patents and counting, Blitzy is actively hiring PhDs and senior developers in Cambridge, MA who have a passion for building AI that leverages 'System 2 Thinking' to solve problems at inference.

Enterprises that aim to dramatically accelerate their software development velocity, development agencies with enterprise clients, development teams with complex existing products, and individuals looking to accelerate their own velocity on complex builds.

Our patent-pending code ingestion framework maps a curated selection of robust, reliable, and secure open source software libraries that we track by version and update frequently. Combined with our proprietary code generation technology that specializes on enforcing enterprise-class software policies, Blitzy far exceeds the utility of typical chatbots and co-pilots in creating production-ready software at scale.

Nope. Blitzy surpasses traditional co-pilots with its ability to autonomously generate nearly-complete code repositories, not just snippets. It features a daily-refreshed knowledge base, avoiding the pitfalls of outdated information. Blitzy's proprietary codebase representation system enables deep understanding of generated code, offering highly contextual and relevant suggestions for your entire repository.

Your team is responsible for bringing the requirements, and as an approver during the technical specification stage. We ask you to edit/approve the Technical Specification. The document is editable, so you can edit and approve to get exactly what you had in mind.

Blitzy's multi-agent system is meticulously and rigorously trained to know what it can accomplish, and what needs to be left for the human engineers. This ensures you only receive quality code and have a clear picture of remaining tasks.

Yes. Blitzy is a comprehensive platform that provides end-to-end development assistance. We support the entire development lifecycle by taking descriptive inputs and generating software requirements documents, technical design, code structure, and generative code within repos for your product.

Quality and security matter deeply to us — and they were our biggest frustration with the copilots already on the market. That frustration is what led us to build something different: a system designed to meet enterprise standards from the start. Every piece of work passes through multiple QA agents that review each other's output before any code reaches you, so what you receive is held to a consistent quality bar rather than the variable output typical of single-pass code generation. We deliver production-grade code repositories. As with any code entering your environment — written by humans or AI — your team should still run its own QA, QC, and security testing before deployment. We build to a high standard and give your reviewers a strong starting point; final validation stays with the team that owns the production environment.

Blitzy uses a two-phase pricing model: evaluation followed by deployment. This structure lets enterprises validate ROI at their preferred scale before committing to organization-wide implementation. The evaluation phase provides three options. Reverse Engineer ($0) offers an initial assessment with complete codebase reverse engineering and understanding up to 100K lines of code; Proof of Concept ($50K for a 2-month term), where Blitzy delivers a guided POC to demonstrate value; or Structured Pilot ($250K for a 6-month term), which fully deploys Blitzy in your environment with 5M lines onboarding and 1.25M lines generation to prove production readiness. Following successful evaluation, organizations choose between three deployment paths. Commercial ($500K typical investment per year) adopts Blitzy on one team to accelerate a defined initiative: the first 20M lines onboarded are included, with additional onboarding at $0.10 per line and generation at $0.20 per line starting at 2.5M lines, plus dedicated infrastructure and SAML-SSO. Enterprise ($5M typical investment per year) rolls Blitzy out across your engineering organization, with onboarding billed at $0.10 per line across the full codebase — a typical engagement onboards 50M lines — and generation at $0.20 per line as needed, adding a Dedicated AI Solutions Consultant, 2 Forward Deployed Engineers, org-wide onboarding and certification, and priority support. Transformation ($50M typical investment per year) supports your largest codebases, with a typical engagement onboarding 500M lines at the same per-line rates, custom deployment, and embedded teams including a Field CTO, a Dedicated AI Solutions Consultant, 6 Forward Deployed Engineers, and 2 Forward Deployed Designers for complete digital transformation. All tiers maintain SOC 2 Type II compliance, ISO 27001 certification, and guarantee no training on your code. Pricing follows a transparent two-rate model: $0.10 per line onboarded for reverse engineering and $0.20 per line generated for forward engineering. Because reverse engineering also produces complete technical documentation of your codebase, onboarding-only engagements are fully supported, and in every tier costs align directly with the value delivered.

The system defaults to taking advantage of all technology upgrades when modernizing or upgrading to the latest technology stack. For example, if you specify an upgrade to Java 21, the system will by default implement virtual threads, as it's generally seen as a superior technical approach. If you do not want this, you must simply tell the system to 'make as few changes as possible to achieve the desired request'. Being as specific as possible about what functionality is (and is not) desired helps yield results that will align with expectations.

Blitzy agents rely on the actual source code of your existing codebase—not the Tech Spec documentation—when performing refactors or extending functionality. However, an accurate Tech Spec significantly aids the system's efficiency in querying the underlying representation of the code. Therefore, investing time to ensure the Tech Spec reflects the core features of the application will yield expectation-aligned results and will save time with last-mile development.

Yes! Blitzy excels at working with existing codebases, using them as a foundation to ensure consistent, high-quality development. The platform enables you to add new features to existing products, generate comprehensive documentation, and tackle technical debt by upgrading legacy systems to state-of-the-art technologies or refactoring complex codebases. Our platform deploys dedicated AI agents that map and understand your codebase before generation, ensuring intelligent, contextualized development that aligns with your existing patterns and standards.

Blitzy's AI platform works with all programming languages.

Structure and organization are crucial when prompting Blitzy. The most effective prompts follow our prompting template with clear sections for WHY (vision & purpose), WHAT (core requirements), and HOW (technical details, user experience & implementation priorities). Each section should be detailed but concise, focusing on essential information while providing relevant context. Including structured frameworks and concrete examples - like data models, user stories, or feature templates - helps Blitzy deliver more precise and purposeful solutions.

During code generation, Blitzy compiles your codebase and performs runtime validation to ensure the generated code works correctly. To enable this, we require: (1) Internal dependencies - any private packages, libraries, or binaries not publicly available that your code needs to build and run, (2) Environment variables and secrets - API keys, credentials, and configuration values required for compilation and runtime (shared securely through our encrypted UI, never exposed to AI agents), and (3) Build instructions - the specific steps or scripts needed to compile your code, typically found in your README or setup documentation. This information allows Blitzy to replicate your development environment and verify that all generated code functions properly before delivery.

Create a .blitzyignore file in your repository's root directory to specify which files or paths Blitzy should exclude during tech-spec generation and code generation. This works similarly to .gitignore - simply list the file patterns, directories, or specific files you want Blitzy to skip, using standard gitignore syntax like *.log, /build/, or config/secrets.json. To ensure Blitzy respects these exclusions, mention in both your codebase context prompt and target state prompt that Blitzy should reference the .blitzyignore file and exclude those paths from processing.

At this time, jobs are not cancelable. Once you submit, it consumes the assigned quota.