- AI’s Impact on Developer Hiring: What the Data Shows
4 min readSoftware engineer job postings are 49% below their early-2020 baseline while overall US postings are 10% above. The hiring market has bifurcated, and the data shows exactly where the split falls. - RISC-V in 2026: AI, Automotive, and China Drive Adoption
4 min readRISC-V has crossed 13 billion cores shipped and automotive giants have committed to it — but it is not displacing Arm. An analysis of where the open ISA actually wins in 2026. - AI Evaluation in Production: The Gap Most Enterprise Teams Ignore
5 min read89% of enterprise AI teams have observability. Only 37% run online evaluation against live traffic. The gap between monitoring and evaluation is where most production AI deployments quietly fail. - Optical Interconnects and the AI Data Center Bandwidth Wall
5 min readCo-packaged optics moved from lab research to volume production in 2025. The bandwidth wall it solves is now the primary constraint on AI cluster scaling — not GPU availability. - RAG vs Fine-Tuning vs Prompting: Enterprise LLM Architecture Decision
6 min read51% of enterprise AI deployments use RAG in production and only 9% use fine-tuning — a gap that reflects missing decision criteria, not a verdict on which approach is better. A four-variable decision framework for enterprise LLM architecture. - Multimodal AI at Work: Document Processing Has Scaled, Video and Vision Still Piloting
6 min readDocument AI and audio transcription are in production at scale. Video understanding and open-ended visual reasoning are still in pilot. A modality-by-modality breakdown of where multimodal AI has earned its place in enterprise workflows — and where reliability gaps are keeping CFOs from removing human review.
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