Coding

Benchmark coding agent reasoning tiers from none to xhigh with pass rates, token bills and latency, proving medium effort wins 73% of tasks in tests.

Run staged context compaction with tool-result offloading and pinned safety constraints, cutting session tokens 74% with zero violations in staging.

Benchmark the Sep 2 launches head to head on coding, long context and cost per task, showing 75.4 DeepSWE and 98.5 MRCR decide the winner in tests.

Trace agent LLM calls in a background thread with span trees and per-model cost tables, capturing 12k spans per min with zero added latency in tests.

Compare Claude Opus 5 vs GPT-5.1 Codex on SWE-bench, price per task, and throughput. Codex saves $18.75 per million with 50 tok/s speed. Full math.

Benchmark Claude Fable 5.1 vs GPT-6 Astra on latency, throughput, and quality scores. Fable leads 7% faster at 75 tok/s. Full routing guide inside.

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.