From the Lab Page 29 / 46

Insights, engineered.

Technical deep-dives, AI strategy, and engineering perspectives from the team building autonomous systems.

Jun 21, 2026 Headless Commerce

ShipStation vs ShipEngine vs EasyPost for Headless Commerce Fulfillment (2026)

Shipping API selection is the headless commerce decision most teams treat as commoditized until they hit international rates, return labels, or pickup scheduling. ShipStation, ShipEngine, and EasyPost solve different shapes of the multi carrier fulfillment problem, and the right pick depends on the warehouse architecture, carrier mix, and how much branding control the brand wants over the post purchase experience.

Jun 20, 2026 AI Infrastructure

M5 Ultra Batched Inference: Serving Multiple Users on One Mac Studio (June 2026)

Apple Silicon batched inference is the question nobody benchmarks because the marketing throughput numbers all assume batch 1. We ran an M5 Ultra Mac Studio under MLX and llama.cpp at batches up to 32 to find out where the curve actually flattens, and whether a single Mac Studio can serve a real workgroup.

Jun 20, 2026 AI Models

Claude Opus 4.8 vs Claude Fable 5 on Terminal-Bench 2.0: Agentic Coding Tested (June 2026)

Anthropic now ships two top tier coding models in parallel: Opus 4.8 for deep reasoning, Fable 5 for long horizon agentic loops. Both score in the low 80s on Terminal-Bench 2.0, but the failure modes are different and the per task economics diverge sharply. We ran a head to head to find out which Claude is the right pick for a production coding agent.

Jun 20, 2026 Headless Commerce

Stripe Tax vs Avalara vs TaxJar for Headless Commerce: Sales Tax Automation Tested (2026)

Sales tax automation is the headless commerce decision most teams defer until the migration is almost done, which is usually too late to redesign cleanly. Stripe Tax, Avalara, and TaxJar each solve a different shape of the problem, and the right pick depends on the checkout architecture, jurisdictional footprint, and how much filing automation matters.

Jun 19, 2026 AI Models

Grok 4.3 vs GPT-5.5 on SWE-Bench Pro: Coding Benchmarks Tested (June 2026)

Grok 4.3 is half the price of GPT-5.5 and 2x the throughput. GPT-5.5 leads SWE-Bench Pro by 6.4 percentage points and Aider Polyglot by 4.1. We ran both on a real coding agent workload to find out which model is the right pick for a production coding agent in mid 2026.

Jun 19, 2026 AI Infrastructure

Long Context Decode on Apple Silicon: 32K to 1M Tokens on M5 Pro and M5 Max (2026)

Most Apple Silicon decode benchmarks publish a number at 2K context and stop. The interesting question for a real backend is what happens when you push the same model to 32K, 128K, or 1M tokens. We measured decode throughput on M5 Pro and M5 Max under llama.cpp Metal and MLX across four context lengths, and the curve falls off harder than the marketing implies.

Jun 17, 2026 Headless Commerce

Akeneo vs Pimcore vs Plytix: PIM for Headless Commerce (2026)

Most enterprise headless commerce migrations stall on the PIM layer. Akeneo, Pimcore, and Plytix are the three platforms most brands evaluate in 2026, and the right choice is a function of catalog complexity, integration depth, and how much you want to own the infrastructure. Here is the head to head.

Jun 17, 2026 AI Models

Claude Fable 5 vs Grok 4.3: Agentic Coding Benchmarks Tested (2026)

Claude Fable 5 and Grok 4.3 are the two model lines that matter most for agentic coding in mid 2026. We ran both on SWE Bench Verified, Aider Polyglot, and a production agent workload to find where each model wins and what the cost per task actually looks like.