Coding

Price Gemini 3.8 Flash honestly with thinking tokens at output rates, effort costs $0.24 to $0.58 and January 2027 doubling modeled.

Measure price per task across 31 coding models with cache-aware math and harness controls that explain Astra reversal and cut agent COGS errors in production.

Map DeepSWE vs Terminal-Bench vs SWE-Atlas to your agent work with contamination data, verifier audits and harness budgets that prevent wrong model picks.

Explore how forced tool-call verdicts fix flaky agent judges with 98 percent agreement and auditable labels for under one dollar per full benchmark.

Compare BGE-M3, E5-large, and Nomic embeddings for agent retrieval with recall, latency, and cost numbers plus a runnable eval harness you can copy.

Benchmark speculative decoding with SPEED-Bench data showing 2.9x wins at batch 1 collapsing at batch 32, plus vLLM tuning that holds gains in production.

Study agent rot with the geometric decay law showing collapse within 16 steps, plus decomposition and gate patterns that hold reliability in production.

Deploy prompt caching for agents with system-first layout, three tested strategies, and TTFT guardrails that cut API bills 80 percent in production.

Design KV cache for 1M-token agents with paged attention, prefix routing, MLA compression and FP8 quantization to cut memory 400x for production fleets.

Compare Fable 5.1 at 11% enterprise spend vs Opus 5 and Gemini 3.8 Flash with benchmark deltas and a proven routing gateway that cuts token costs 68%.

Give agents ColPali visual retrieval over document screenshots with late interaction matching and binary compression for tables that never survive parsing.

Sweep reasoning effort per task class with proven low high max tiers, default down from max thinking, and escalate on repair rates to cut spend 40%.