Claude Sonnet

What is inference engineering? Deepdive

As open models proliferate, inference engineering—optimizing LLM serving through quantization, speculative decoding, and caching—has shifted from niche research to a core capability for building cost-effective, differentiated AI products.

The ladder is missing rungs – Engineering Progression When AI Ate the Middle

AI code generation fell short of Amodei's 90% prediction at 25–50%, but the real crisis is that automating junior tasks eliminates learning pathways; METR and Anthropic research reveals the "supervision paradox" where teams shift bottlenecks to senior code review, requiring judgment that atrophies from overuse.

SERHANT.'s playbook for rapid AI iteration

SERHANT. scaled their AI real estate agent S.MPLE from 200 to 900+ users by orchestrating multiple Claude models alongside OpenAI and Gemini through Vercel's AI SDK, avoiding vendor lock-in and enabling rapid model swaps as the LLM landscape evolves.

$500 GPU outperforms Claude Sonnet on coding benchmarks using open-source AI system

Inference-time optimization lets a $500 GPU match Claude Sonnet on coding benchmarks — ATLAS demonstrates test-time techniques like PlanSearch and iterative repair can rival fine-tuning, though best-of-3 selection complicates the single-shot comparison.

Gemini 3 Flash: frontier intelligence built for speed