Coding

Compare Orkes Conductor, Temporal, and AWS Step Functions for agent orchestration: latency, cost per 100K state transitions, and which platform breaks first.

Benchmark three agent evaluation methods: heuristic judges score 94% precision but miss 38% of agent failures. Hybrid catches 97% at $0.03 per evaluation.

Run TDD agents with test-impact maps: human repro tests unlock 94.3% resolution while bare TDD prompting raises regressions 63% — maps over mantras.

Ship adaptive compaction for coding agents: fire at phase transitions, preserve five-field state, and hold 97.8% next-action accuracy at 0.3x cost.

Give monorepo coding agents structural repo maps: hybrid vector-graph indexes lift resolve 50.4% vs 41.9% over grep at lower cost per solve with refresh.

Compare Qwen3.8-Omni-Flash against Gemini 3.8 Flash on audio-video benchmarks with per-hour cost math and a production routing rule.

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.