software development

Blitzy

Build enterprise software faster by automating over 80% of code generation with infinite context, deep reasoning agents, and runtime validation.

Free plan available

$50,000/2-month term

Blitzy screenshot

About Blitzy

Blitzy is an autonomous code generation platform designed specifically to handle the complexities of enterprise-scale software development. Unlike standard AI assistants that operate on small snippets of code, Blitzy features what it calls "infinite code context," allowing the system to ingest and understand over 100 million lines of code in a single pass. This ensures that the AI maintains a holistic view of the entire system, preventing the missing dependencies or architectural blind spots that often plague smaller models. The platform aims to automate over 80% of the software building process, delivering pre-compiled code that is ready for human developers to finalize and integrate. At its core, the platform utilizes a "System 2 AI" architecture, which prioritizes deep reasoning over immediate response. When given a product requirement, Blitzy orchestrates more than 3,000 specialized AI agents that collaborate to plan, code, and iterate. This process often involves the system thinking for hours to ensure the logic is sound before any code is produced. To ensure production readiness, every output is validated at both compile and runtime against real conditions. This rigorous validation process is a key reason why the platform has achieved a leading rank on the SWE-bench Verified leaderboard, solving 86.8% of engineering tasks autonomously. The tool is primarily built for large-scale engineering teams and IP-sensitive organizations that require high levels of security and reliability. It is particularly effective for generating detailed technical specifications, building new features, performing complex refactors, and managing version upgrades across massive codebases. Because the system does not train on customer data and offers flexible deployment options—including private VPCs and on-premise installations—it is well-suited for industries like finance, healthcare, and defense where data privacy is paramount. Blitzy distinguishes itself from standard coding copilots by focusing on asynchronous, autonomous development rather than real-time suggestions. While a copilot might help a developer write a single function, Blitzy handles entire project scopes, providing not just the code but also the documentation and a roadmap for the final "last-mile" human work. With SOC 2 Type II compliance and ISO 27001 certification, it bridges the gap between AI experimentation and professional-grade software engineering, allowing organizations to ship software in days rather than months while maintaining complete control over their intellectual property.

Blitzy pros & cons

Pros

  • Solves 86.8% of engineering tasks autonomously on the SWE-bench Verified leaderboard.
  • Eliminates dependencies blind spots by ingesting 100M+ lines of code in one pass.
  • Ensures production readiness by validating all generated code at both compile and runtime.
  • Maintains strict data privacy by never training AI models on customer source code.
  • Provides dedicated support and onboarding teams for enterprise-scale pilot programs.

Cons

  • High initial investment cost with paid pilot programs starting at $50,000.
  • Usage costs include a per-line fee of $0.20 for generated code in most paid plans.
  • Enterprise and Transformation plans require multi-year commitments of 36 to 48 months.

Blitzy use cases

  • Enterprise architects can generate comprehensive technical specifications for new systems while maintaining full context of legacy codebases.
  • Software engineering teams can automate 80% of feature development and version upgrades, reducing manual effort to the final 'last-mile' integration.
  • Security-sensitive organizations can utilize autonomous code generation within their own VPC or on-prem to protect proprietary intellectual property.
  • Product managers can accelerate concept validation by having AI agents build functional proof-of-concepts from high-level requirements in days.
  • Legacy systems engineers can perform large-scale refactors across millions of lines of code with automated validation to ensure system stability.

Blitzy features

  • soc 2 type ii compliance
  • iso 27001 certification
  • private vpc and on-prem deployment
  • autonomous technical spec generation
  • compile and runtime code validation
  • 3,000+ autonomous ai agents
  • system 2 ai deep reasoning
  • infinite code context (100m+ lines)

Blitzy pricing

Is Blitzy free? Yes, Blitzy has a free plan, and paid plans start at $50,000 / 2-month term.

Explore

Free

  • Generate technical specs
  • 100K lines of code to onboard
  • Self-serve documentation
  • No training on your code
  • ISO 27001 certified
  • SOC 2 type II compliant

Concept Validation

$50,000 / 2-month term

  • Generate technical specs
  • Feature or version upgrades
  • 100K lines of code to onboard
  • Guided POC delivery
  • No training on your code
  • SOC 2 type II compliant

Structured Pilot

$250,000 / 6-month term

  • Feature additions and refactors
  • 5M lines of code to onboard
  • 1.25M lines of code generated
  • Unlimited seats
  • Team onboarding & coaching
  • SOC 2 type II compliant

Enterprise

$500,000 / year

  • 50M lines of code to onboard
  • 2.5-15M lines of code generated
  • Blitzy Cloud VPC
  • AI Solutions Consultant
  • Priority support
  • Dedicated platform instance
  • SAML-SSO

Blitzy FAQs

Is Blitzy a coding co-pilot?

No, Blitzy is an autonomous platform that uses System 2 AI to reason deeply for hours to complete complex tasks, rather than just providing real-time code suggestions.

How does Blitzy understand my existing codebase?

The platform utilizes 'infinite code context,' allowing it to ingest and analyze over 100 million lines of code in a single pass to maintain a full view of your system.

What happens after I submit a prompt to Blitzy?

Blitzy orchestrates over 3,000 agents to plan and code; you receive pre-compiled code with details for the 'last-mile' work that requires human engineering intervention.

Does Blitzy train its models on my proprietary code?

No, Blitzy is built for IP-sensitive organizations and has a strict policy of not training its models on any user-provided code or data.

Can I deploy Blitzy in my own private environment?

Yes, high-tier plans offer secure deployment options including Customer VPC and on-premise installations to meet strict corporate security requirements.

Open roles

All AI jobs

DevOps Engineer

Benefits:

  • Comprehensive health, dental, and vision insurance

  • 401(k) with company match

  • Flexible PTO policy

  • $5,000 annual professional development budget

  • Latest hardware and software tools

Experience Requirements:

  • 5-8 years of DevOps/Infrastructure experience

  • Expert-level Python proficiency

  • Deep Kubernetes expertise

  • Strong experience with Helm

  • Proven track record designing and implementing CI/CD pipelines

Other Requirements:

  • CKA (Certified Kubernetes Administrator) or CKAD certification

  • Experience with MLOps tools (MLflow, Kubeflow, Ray, etc.)

  • Knowledge of AI/ML infrastructure requirements and optimization

  • Experience with GPU orchestration and management

  • Background in security and compliance (SOC2, HIPAA)

Responsibilities:

  • Architect and implement robust Kubernetes infrastructure

  • Create sophisticated CI/CD pipelines

  • Develop Python-based automation

  • Design monitoring and observability systems

  • Optimize cloud infrastructure for cost-efficiency

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DevOps Engineer

engineeringonsite Pune, IN₹15,00,000 - ₹35,00,000 full-time

Benefits:

  • Medical Insurance Benefits

  • Employer Provident Fund contributions

  • Company-sponsored US onsite trips for high performers

  • Potential international transfer support

  • Technology equipment and/or allowance

Experience Requirements:

  • 5-8 years of DevOps/Infrastructure experience

  • Expert-level Python proficiency

  • Strong Kubernetes expertise

  • Hands-on experience with Helm

  • Proven experience designing and implementing CI/CD pipelines

Other Requirements:

  • Proficiency with Git and version control workflows

  • Experience with Terraform

  • CKA or CKAD certification

  • Familiarity with security and compliance standards

Responsibilities:

  • Build and maintain robust Kubernetes infrastructure

  • Create and optimize CI/CD pipelines

  • Develop Python-based automation

  • Implement monitoring and observability systems

  • Collaborate effectively with engineering teams in Pune and the US

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