... build dev tools solo and use claude/cursor daily for API integration work. the pattern i keep seeing: agent finds a bug, fixes the code, declares done. what it does not do is rerun the exact failure scenario and prove the fix holds. that verification step was always on me. we just shipped something in FetchSandbox to close that loop. after it catches a bug, it now nudges the agent to rerun

... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs Local Agent Harness Another important decision is where the agent capability should come from. One option is to build the entire reasoning layer yourself: call an LLM API directly, manage prompts, retries, tool calls, screenshots, JSON parsing, and safety rules. That ... ... gives maximum control, but it also means the test harness becomes an AI platform project. The alternative

... team behind Datastripes! Turn raw data into a repeatable, shareable story no code required. Most data tools are either: Too technical (SQL, scripting, complex BI stacks), or Too shallow (one-off AI answers you can t rerun, audit, or share properly). Teams bounce between bloated dashboards no one opens and disposable insights that disappear. We wanted something that thinks in flows reusable, visual, narrative. What Datastripes does Datastripes lets you build analysis flows out of modular nodes (filter, regress, cluster ... ... join, visualize, summarize ). Connect them like blocks, rerun