Claude Sonnet 4.6 vs Sonnet 4.5: Quiet Upgrade, Big Reliability Gains
A practical engineering deep dive into Claude Sonnet 4.6, covering architecture, tradeoffs, and what production teams need to know about Sonnet 4.5.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
A practical engineering deep dive into Claude Sonnet 4.6, covering architecture, tradeoffs, and what production teams need to know about Sonnet 4.5.
Three caching layers cut agent cost dramatically in stacked combination. The architecture for stacking them and the gotchas with each one in serious production deployments.
Personalizing onboarding agents lifts trial-to-paid by 18% in published case studies. The memory architecture that makes it work and the metrics it actually moves.
A Texas brokerage using CrewAI to assemble multi-agent research crews for listings, comps, and outreach. Architecture, ROI, and the compliance posture that worked.
TGI relaunched in 2026 with a redesigned core engine. Where it stands against vLLM and SGLang, and where Hugging Face is taking the project over the next 12 months.
The hardest function-calling benchmarks of 2026 and what the leaderboard tells us about which models actually work as agents.
Code-Review-Graph computes the impact radius of a change with 100% recall — every caller, dependent, and test touched by your diff, in milliseconds.
Compare CallSphere and Dialpad for enterprise calling — AI capabilities, compliance, UCaaS features, and total cost of ownership side by side.
Time-to-first-call, time-to-pilot, time-to-launch by vertical for CallSphere vs Vapi in 2026 — the definitive deployment-speed comparison.