5 posts tagged with "Tools"

Agentic coding means you hand an AI agent a goal, not a list of steps. You say "make the failing user test pass" and the agent works out how: it reads the code, edits files, runs the commands, reads the errors, and tries again until the goal is met or it hits a limit. The word agentic marks the two things a plain chat window lacks, tools and its own decisions. A human still reviews the result. That last part is the part that matters for anyone learning to code, and October 2026 shipped real evidence for it.

Scrimba Explain exposes two MCP endpoints: one for your own agent session, one for pull requests. Claude Code connects to either with one command or one JSON file, reads your repository or diff, and streams a narrated video lesson into Scrimba. Drafts cost nothing until someone opens and claims the link. I ran both endpoints against a public Anthropic repo and a merged pull request, and this post is what came back, including the parts that went wrong.

Scrimba Explain turns a typed question into a narrated video with code, diagram and quiz slides in about ten seconds. NotebookLM Video Overviews turn documents already sitting in a notebook into a narrated slideshow that can take over 30 minutes. Pick Explain for a coding concept or a piece of code, NotebookLM for a video summary of your own PDFs or notes.

I generated every Explain result in this comparison myself, on a Pro account: the explainers, the transcripts, the quizzes. NotebookLM sat behind a corporate sign-in on the machine I had, so its side of the table comes from Google's own help pages and blog posts, linked where it appears, and anything Google does not document is marked unverified.

Scrimba Explain turns a question into a short narrated video explainer, complete with diagrams, code walkthroughs and, most of the time, a quiz at the end. A free Scrimba account gets 10 explainers for life, Pro gets 100 a month, and it works in the browser, inside Scrimba lessons, in ChatGPT, and inside coding agents like Claude Code through MCP. Most AI coding tools compete to write your code faster. This one explains it.

As of 2026-10-23, the best AI for coding while you learn is a chat model on a free plan, used for explanations and error questions. ChatGPT Free and Claude Free both qualify, per their plan pages checked that day. Add Copilot or Cursor autocomplete only after you can write the pattern yourself. The launches of 2026-09-22 to 2026-10-21 keep making models better at writing whole files for you, which is the wrong help in your first months.

My pick, in order: 1. a free chat model for questions, 2. GitHub Copilot once you can read every suggestion, 3. Cursor after your first portfolio projects.