How to Evaluate a New Model From Evidence Instead of Hype: A Walk Through 60 Claude Fable 5 CasesWhen a new model drops, the hard part isn't finding opinions — it's finding evidence. Reproducible prompts, real token costs, the tasks where it breaks. That's usually scattered across Twitter, blog pJun 11 · 3 min readevolinkai.hashnode.dev
How I Configured Claude Code as an Architect: 10 Settings, Grouped by What They FixI build with Claude Code every day, and for the first few months I treated it like a finished tool. It was the wrong mental model. It's closer to a platform: the defaults run at "fine," and the configJun 10 · 6 min readevolinkai.hashnode.dev
A Practical Seedance 2.0 Prompt Structure for More Controllable AI VideoI have been collecting Seedance 2.0 prompt examples, and the pattern is clear: the best prompts are not longer. They are more structured. We published the collection as an open GitHub repo: https://giJun 5 · 4 min readevolinkai.hashnode.dev
Testing Claude Code Dynamic Workflows With a 111-Agent Research RunClaude Code dynamic workflows are easy to misread as a "spawn more agents" feature. That is not the most useful way to think about them. The useful part is that a workflow turns a long task into a visJun 4 · 6 min readevolinkai.hashnode.dev
Gemini 3.5 Flash vs Claude Opus 4.7 vs GPT-5.5: Which Model for Which Agent Task (May 2026)Google shipped Gemini 3.5 Flash at I/O 2026 on May 19. It outscores its own flagship Gemini 3.1 Pro on coding and agent benchmarks, runs 4x faster, and costs 40% less. But it does not win on every tas1BMay 20 · 5 min readevolinkai.hashnode.dev
