According to a recent LinkedIn post from Blitzy, QAD RedZone’s SVP of Product Engineering and Head of AI joined Blitzy’s CRO to discuss how QAD is using Blitzy in its software development lifecycle. The discussion reportedly covers a learning curve for QAD’s engineering team and cites an initial 3x improvement in development velocity, with a suggested path toward 5x.
Claim 30% Off TipRanks
- Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions
- Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks
The post indicates that QAD’s current stack includes Blitzy, Claude Code, and Cursor, and emphasizes distinctions between prompting at scale and traditional IDE-based tools. For investors, these reported productivity gains and AI-native practices may point to stronger value propositions for Blitzy in enterprise software engineering, potentially supporting higher adoption rates and reinforcing its positioning in the AI-assisted development tools market.
The conversation is also framed as offering practical guidance for engineering leaders, which could enhance Blitzy’s thought-leadership profile among technical decision-makers. If such performance improvements are validated across additional customers, this could underpin revenue growth assumptions and support a competitive moat against other AI development platforms targeting large-scale, industrial use cases.