How to Use GitHub Copilot in VS Code Without Accepting Bad Code
A practical guide to how to use GitHub Copilot in VS Code, covering workflow fit, costs, limitations and responsible use.
A practical guide to how to use GitHub Copilot in VS Code, covering workflow fit, costs, limitations and responsible use.
GitHub Copilot combines code completion, chat, agents and GitHub-native workflows across a wide editor range. It remains easy to adopt, but new credit-based agent usage makes plan selection and cost monitoring more important.
A practical guide to Cursor vs GitHub Copilot, covering workflow fit, costs, limitations and responsible use.
Cursor is compelling when AI is expected to understand and change several files, not merely complete the current line. Its value depends on agent usage, model cost and whether changing editor is a benefit or a disruption.
A practical guide to Genspark vs Perplexity, covering workflow fit, costs, limitations and responsible use.
Genspark moves beyond a conventional answer engine by combining research with agent-style task completion and generated pages. The ambition is useful, but users should judge finished work and source quality rather than the number of automated steps.
A practical guide to how to use NotebookLM for research, covering workflow fit, costs, limitations and responsible use.
NotebookLM is unusually useful because it starts with your sources rather than the open web. It can turn documents into cited answers, study aids, audio, video and structured outputs without pretending that every topic belongs in a general chatbot.
A practical guide to Poe vs ChatGPT, covering workflow fit, costs, limitations and responsible use.
Poe puts many third-party models and community bots behind one interface and credit system. It can replace several casual subscriptions, but the value falls quickly if one first-party assistant handles nearly all your work.