Over the last three years, LLMs stopped being “autocomplete that talks” and became something closer to a teammate: AI agents that can explore a repo, run commands, analyse data, and iterate until something works. That shift made Agentic Testing possible....
We built IDEs to get away from the terminal. They gave us autocomplete, refactors, visual debugging, and a sense that “modern development” means clicking around in a rich interface instead of typing commands like it’s 1999. That’s why the current...
Recent LLM releases such as Opus 4.5 and GPT-5.1 Codex (used via Codex CLI) have once again pushed the boundaries of what we thought possible. These models generate remarkably high-quality code and demonstrate capabilities that would have seemed out of...
Over the last year or so, agentic coding has gone from novelty to serious contender for “default way of working” in many engineering teams. Tools like Claude Code, Cursor, Copilot or Codex are no longer just autocomplete toys – they’re...
Agentic tooling like Playwright MCP or Chrome DevTools MCP are the kind of thing that makes testers’ eyes light up: you point an AI at a browser, give it some tools, and it starts exploring your app, filing bugs, and...