Have you ever spent 20 minutes looking for a conversation you had with Cursor last week? The one where it helped you fix a tricky async bug—and now you're facing the same issue in a different project, but can't find that thread anywhere? This isn't a user error. It's a structural limitation in how Cursor handles session history. Cursor includes a built-in conversation history panel. You can browse
If you've tried to follow any AI coding discussion in the last six months, you've probably felt like everyone suddenly started speaking a dialect you never signed up to learn. "Vibe coding." "Agentic workflows." "Context windows." "Prompt engineering." The jargon is multiplying faster than JavaScript frameworks, and that's saying something. Matt Pocock — who you might know from his TypeScript educ
GitHub Copilot just got a lot more complicated — and not in a good way. If you tried to sign up for Copilot Pro recently and hit a wall, that's not a bug. GitHub quietly paused new sign-ups for Copilot Pro, Pro+, and Student plans starting in late April 2026. No end date announced. No workaround offered. Just a message and a door that won't open. That alone would be worth covering. But they made t
llms.txt is a small text file on a documentation site—usually lists what the product is and links to the important Markdown pages. For coding agents, treat it as the canonical URL to open first when upstream behavior is unclear. This post is mostly setup and workflow, not theory. Location Put this there Official doc server https://example.com/llms.txt (maintained by the library/vendor) Y
This post was created with AI assistance and reviewed for accuracy before publishing. Cursor can use project rules and documentation to steer behavior. Exact file names and mechanisms evolve; check Cursor documentation for the current layout (for example rules in .cursor or legacy .cursorrules patterns). Short, enforceable bullets beat long essays: stack versions, test commands, “no new dependenci
"Write a function to fetch the list of users." — same prompt, same codebase. Yesterday: getUsers(). Today: fetchUserList(). Tomorrow: loadAllUsers(). Six months of AI-assisted coding and I kept hitting this wall. My initial reaction was "maybe I need to write better prompts." I wrote better prompts. The functions got slightly better. New inconsistencies appeared elsewhere. The problem wasn't the A
Anthropic now ships at least three different memory models inside the Claude product family, and they don't behave the same way. Claude.ai has a chat memory feature for Pro, Max, Team, and Enterprise users that summarizes prior conversations and injects that summary into new chats. Claude Code has CLAUDE.md files plus a separate "auto memory" directory the model writes to itself, both loaded at se