ProductMar 28, 20268 min read
Natural Language Queries: From Prototype to Production
We shipped NL-to-SQL in production with 97% accuracy. This post covers the architecture, failure modes, and lessons learned.
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Technical deep dives, product updates, and thoughts on the future of AI-powered data teams.
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EngineeringApr 10, 20266 min read
How AI Agents Are Redefining Database Management
Traditional database management is reactive. AI agents make it proactive. Here's how autonomous agents detect issues before they impact your team.
EngineeringMar 15, 202610 min read
Building a Zero-Config Data Pipeline
How we designed Smart Data Pipeline to handle schema evolution, error recovery, and scaling without manual configuration.
InsightsFeb 22, 20265 min read
The Case for AI-First Data Analytics
Data teams spend 60% of their time on repetitive tasks. AI agents can handle most of it.
ProductFeb 8, 20267 min read
Schema Intelligence: Why Your Data Model Needs an AI Review
Poor schema design costs teams thousands of hours. Our Schema Intelligence tool catches issues early.
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EngineeringJan 20, 202612 min read
Scaling to 2 Million Queries Per Day
A deep dive into Bitrize's infrastructure — how we handle 2M+ queries daily with sub-200ms response times.
EngineeringJan 5, 20269 min read
Why We Chose Rust for Our Query Engine
Performance, safety, and developer experience. Here is why Rust was the right choice for our most critical system.
ProductDec 18, 20256 min read
Data Quality Monitoring with AI
Manual data quality checks don't scale. We built an AI-powered system that catches issues in real-time.
InsightsDec 1, 20258 min read
The Future of Database Management is Autonomous
Self-healing databases, predictive optimization, and zero-touch operations. Where the industry is heading.
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Scaling to 2 Million Queries Per Day
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Natural Language Queries: From Prototype to Production
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Why We Chose Rust for Our Query Engine
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How AI Agents Are Redefining Database Management
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