A Developer’s Guide to Building Prompt-Aware Query Optimizers
optimizationLLMquery-engine

A Developer’s Guide to Building Prompt-Aware Query Optimizers

qqueries
2026-02-12
10 min read
Advertisement

Build prompt-aware query optimizers that use intent and context to cut latency and cloud costs for conversational SQL. Practical design, heuristics, and benchmarks.

Advertisement

Related Topics

#optimization#LLM#query-engine
q

queries

Contributor

Senior editor and content strategist. Writing about technology, design, and the future of digital media. Follow along for deep dives into the industry's moving parts.

Advertisement

Up Next

More stories handpicked for you

Benchmarking GPU-Accelerated OLAP Engines on NVLink-Connected RISC-V Platforms
benchmark•11 min read

Benchmarking GPU-Accelerated OLAP Engines on NVLink-Connected RISC-V Platforms

Tool Roundup: Query Spend Alerts and Anomaly Detection Tools (2026)
observability•9 min read

Tool Roundup: Query Spend Alerts and Anomaly Detection Tools (2026)

Building Secure AI-Powered Query Systems for Government Use
AI•10 min read

Building Secure AI-Powered Query Systems for Government Use

From Our Network

Trending stories across our publication group

Securing the Supply Chain When RISC-V Meets High-Performance GPUs
behind.cloud
hardware security•11 min read

Securing the Supply Chain When RISC-V Meets High-Performance GPUs

Leveraging Terminal-Based File Managers: Enhancing Developer Workflow in Cloud Environments
behind.cloud
DevOps•8 min read

Leveraging Terminal-Based File Managers: Enhancing Developer Workflow in Cloud Environments

Release Management Checklist for Large AI Platform Acquisitions
binaries.live
acquisition•10 min read

Release Management Checklist for Large AI Platform Acquisitions

2026-02-12T20:15:47.124Z