Context Engineering for Production LLM Agents (2026) Posted by By MPRAUTO MPRAUTO June 6, 2026Posted inAINo Comments Context engineering patterns for production LLM agents in 2026 — retrieval, compaction, memory tiers, tool-result pruning, and what breaks at long horizons.
How AI Now Produces Full Children’s Storybooks: 2026 Pipeline Guide Posted by By mprcba June 3, 2026Posted inAINo Comments How AI now produces full children's storybooks in 2026 — pipeline (LLM + image gen + layout), prompt patterns, IP risks, and the publishing workflow.
YouTube Shorts in Final Cut Pro 11: 2026 Production Workflow Posted by By mprcba June 3, 2026Posted inAINo Comments A 2026 production workflow for YouTube Shorts in Final Cut Pro 11 — project setup, vertical timeline, captions, AI-assisted cuts, and export.
Cursor vs Windsurf vs Claude Code: Agentic IDEs Compared (2026) Posted by By MPRAUTO MPRAUTO June 3, 2026Posted inAINo Comments An engineer's comparison of Cursor, Windsurf, and Claude Code in 2026 — agent loop, context, tool use, security posture, and when each wins.
Edge MLOps Pipelines for Industrial IoT: 2026 Production Architecture Posted by By MPRAUTO MPRAUTO June 3, 2026Posted inAINo Comments Production-grade edge MLOps pipeline for industrial IoT — training, packaging, OTA delivery, drift detection, and rollback under network constraints.
vLLM Cost Economics: 2026 Deep Dive on $/Million Tokens Posted by By MPRAUTO MPRAUTO June 3, 2026Posted inAINo Comments A practical 2026 deep dive on vLLM cost economics — KV cache, paged attention, speculative decoding, and dollar-per-million-tokens math.
Time-Series Forecasting at the Edge: 2026 Production Patterns Posted by By MPRAUTO MPRAUTO June 3, 2026Posted inAINo Comments Production patterns for time-series forecasting at the edge — Chronos-Bolt, TimesFM, TFT, quantization, and real-world latency budgets.
Carbon Footprint of Industrial AI Inference: 2026 Living Benchmark Posted by By MPRAUTO MPRAUTO June 3, 2026Posted inAINo Comments A living 2026 benchmark of the carbon and energy cost of industrial AI inference — at the edge, in regional clouds, and per business outcome.
SGLang vs vLLM vs TensorRT-LLM: 2026 Inference Benchmark Posted by By MPRAUTO MPRAUTO June 2, 2026Posted inAINo Comments Reproducible 2026 benchmark of SGLang, vLLM, and TensorRT-LLM — throughput, p50/p99, KV cache utilization, and when each wins.
Kling O1 (Updated 2026): Unified AI Video Model for Editing Posted by By mprcba June 2, 2026Posted inAINo Comments How Kling O1's unified architecture solves AI video consistency and editing — pipeline, comparison to Sora, prompt patterns, production limits.