Coding

Benchmark Aider, Cursor Agent, and Copilot Workspace across 100 monorepo refactoring tasks to evaluate resolve rates, token spend, and git diff accuracy.

Master SWE-bench Multimodal visual debugging benchmarks to evaluate autonomous front-end AI agents, pixel regression tests, and DOM tree layout fixes.

Benchmark BitNet b1.58 ternary 1-bit LLMs against FP16 baselines to see how replacing matrix multiplication with integer addition cuts DRAM bandwidth 71%.

Compare GRPO against PPO and DPO for reasoning model post-training to see how eliminating the critic network saves 42% GPU VRAM and boosts math accuracy.

Benchmark FlashInfer against FlashAttention-3 to compare FP8 tensor cores, PageAttention kernels, and sub-12ms decode latency across LLM serving engines.

Compare DSPy automated prompt compilation against manual prompt engineering with real-world latency benchmarks, 43% token savings, and accuracy metrics.

Evaluate structured LLM outputs using native JSON mode, Pydantic Instructor, and Outlines regex masks with strict error rates and token latency benchmarks.

Benchmark hallucination detection for AI agents across Guardrails AI, NeMo Guardrails, and Instructor with latency metrics, schema validation, and test data.

Benchmark Qwen2.5-Coder 32B against Claude 3.5 Sonnet on SWE-bench Verified, evaluating token economics, agentic tool accuracy, and local hosting costs.

Benchmark Terminal-Bench 4.0 shell autonomy with 66 tasks, comparing cost per task, retry loops, and terminal failure modes in our deep engineering guide.

Compare Claude Opus 5.5 vs GPT-6 Sol on coding benchmarks, OSWorld 60.5 scores, token pricing at half cost and pick the clear production winner now.

Compare Claude Fable 5 and GPT-5.6 Sol on Terminal-Bench 2.0 across 500 monorepo refactoring tasks, measuring tool call accuracy and token burn rates.