Engineering Blog
Technical deep-dives, case studies, and research commentary from the dnawerkes engineering team. No hype — only production learnings.
How We Achieved 14ms P95 RAG Latency in Production
A deep-dive into the adaptive index sharding strategy and speculative retrieval prefetching that powers our Transcription layer at scale — with full benchmarks.
12 min readGenomic Prompt Architecture: Why Modularity Beats Monolithic System Prompts
We explain the hierarchical prompt structuring methodology we use internally and how it reduces token cost by 94% while improving coherence across multi-turn agent tasks.
9 min readDeploying a 2,048-Node Agent Mesh for a Fortune 500 Research Firm
How we designed, instrumented, and deployed a distributed agent matrix processing 10,000+ concurrent research tasks with a 97.3% task completion rate.
15 min readFault Tolerance in Agent Meshes: Lessons from Cellular Redundancy
Biological cells have evolved elegant mechanisms for error correction and redundancy. We applied the same principles to build a self-healing multi-agent orchestration system.
11 min readSemantic Deduplication at Scale: Eliminating Redundant Vector Embeddings
A practical guide to identifying and removing near-duplicate chunks before embedding, reducing index size by 38% and improving retrieval precision.
8 min readWhy We Started dnawerkes.ai
Most AI deployments fail at the engineering layer — not the model layer. We founded dnawerkes to fix the infrastructure, not chase the benchmarks.
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