News & guides
Best Model for Agentic Workflows: Reliability Compounds
An agent that is 95 percent reliable per step fails most thirty-step tasks. Why compounding error, not peak capability, decides which model to run in a loop.
· 9 min readBest Model for Backend Code: Where Benchmarks Transfer Best
Backend work is the one domain where SWE-bench scores roughly mean what you want them to mean — and the places where they still mislead you.
· 9 min read
Best Model for Batch Jobs: Throughput, Not Intelligence
When nobody is waiting for the answer, latency stops mattering and unit cost dominates. How to pick and operate a model for offline high-volume work.
· 8 min read
Best Model for Data Science: Correct Code, Wrong Analysis
The code runs, the chart renders, and the conclusion is unsound. Why data science needs a different evaluation than general code generation.
· 9 min read
Best Model for DevOps: Blast Radius Changes the Calculus
Infrastructure code fails differently: rarely, and expensively. Why terminal benchmarks are the relevant signal and what to gate before applying.
· 9 min read
Best Model for Documentation: Accuracy Is the Only Metric
Documentation is the task where fluent output is most dangerous, because readers cannot verify it. How to pick and constrain a model for docs that stay true.
· 8 min read
Best Model for Enterprises: Capability Is the Easy Part
At enterprise scale the constraints are licensing, data residency, auditability and version stability. How those narrow the field before capability matters.
· 9 min readBest Model for Frontend Code: Judgement Without a Compiler
Frontend work has no oracle that tells you the output is wrong. What that means for model choice, and how to close the loop with screenshots.
· 9 min readBest Model for Go: Easy to Write, Hard to Get Idiomatic
Go is the language models write most confidently, and confidence is the problem. Where generated Go compiles cleanly and still races under load.
· 9 min readBest Model for Large Repositories: Context Is Not Enough
A million-token window does not make a model good at a million-line codebase. What actually determines whether a model can work in a large repository.
· 9 min readBest Model for Legacy Code: Comprehension Beats Cleverness
Legacy work is mostly reading, not writing. Why the model that scores highest on code generation is often the wrong one for a twenty-year-old codebase.
· 9 min readBest Model for Long Context Tasks: Match the Task Shape
Long context is three different problems wearing one name. Which one you have decides whether window size, attention quality or cache pricing is the real constraint.
· 9 min readReady to try it?
Every model behind one key. Start free and upgrade when it sticks.