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Making databases ready for AI
I’m Ivan Lima, a data engineer helping teams modernize their databases so they can actually support AI systems — not just bolt one on. This site covers indexing and performance tuning, CI/CD for data platforms, data engineering practices, vector databases and AI semantics, and where quantum computing is headed for data systems.
If your database is the bottleneck standing between your team and a working AI product, get in touch — that’s exactly what I do.
Latest posts
Posts
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The Refusal Took 11 Milliseconds. The Query Would Have Taken 1,584.
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Stop LLMs From Hallucinating SQL: Self-Correcting Agents
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Your Database's Billing Minimums Weren't Built for AI Agents
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pgvector vs. Purpose-Built Vector Databases: A 2026 Decision Framework
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The Permissions Were Never Checked Again After They Were Granted
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AI Isn't Replacing DBAs; It's Upgrading Us to Agent Orchestrators
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Your PQC Deadline Just Moved Up Four Years. Start With Your Database
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Index Bloat and Fragmentation: When to Rebuild, When to Ignore It
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A Perfectly Scoped Query From the Wrong Agent Is Still a Breach
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Why Your AI Agents Keep Crashing (And Why You Need a DB Architect)
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When Self-Healing Agents Make the Wrong Recovery Call
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Indexing for AI Workloads: What Changes When Vectors Enter the Mix
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I Built a Queue Between My AI Agents and Every Schema Change
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I Put a Firewall in Front of My Database's AI Agents
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Semantic Rot: When Embedding Upgrades Break Vector Search
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Parameter Sniffing: Why It's Fast for One User and Slow for Everyone Else
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Your AI Act Deadline Was Deferred. Your Database Debt Wasn't
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A Human-in-the-Loop Framework for AI Database Code
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Inside a Real Cascading Failure: A Redocly Case Study
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The Hidden Risk of Parallel AI Agents Merging DB Schemas
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Building and Killing a Deadlock With Your Own Hands
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Your Database Was Provisioned for Humans. Agents Just Broke the Model
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AI Agent Guardrails for Databases: Moving Fast, Keeping the Last Word
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Diagnosing and Fixing a Slow Query, Step by Step
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Is Your Database AI-Ready? The Data Behind Why Most Enterprises Aren't
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Welcome to Data Platform Advisory: Getting Databases Ready for AI
Most teams building AI features aren’t blocked by the model. They’re blocked by the database underneath it: slow queries, no vector search, schema changes deployed by hand, pipelines nobody trusts. AI makes those problems visible faster than anything else does.
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How to Design SQL Server High Availability and Disaster Recovery Using Always On Availability Groups
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Why Most SQL Server Modernization Projects Fail Before AI Even Begins
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