TLDR: The AI coding tools most solo developers use right now: Claude Code for agent-style multi-file work, Cursor for everyday editing, Codex as OpenAI's equivalent agent CLI, GitHub Copilot for autocomplete inside any editor, and Aider for terminal-driven workflows. They all write code. None of them tell you what you wrote. That last layer is missing, which is why tools like AskScout exist next to them.
“What AI coding tool should I use?” is the wrong question if you ask it in the abstract. The right framing is: where does the AI sit in your typing flow, and how big is the task you need it for?
Below is the honest version of how four of the most-used tools stack up for a solo developer in 2026. Then, the layer none of them solve.
Cursor
Cursor is a fork of VS Code with AI throughout the typing flow. Tab to accept, Cmd+K to ask for an inline edit, Cmd+L to chat with the file. It indexes your whole project so its suggestions are aware of your codebase, not just the file you have open.
What it is good at: living inside your editor without slowing you down. The tab completions are fast. The inline edits are reliable for short tasks. The cmdline-K workflow feels like pair programming with someone who has read your repo.
What it is not great at: long agent-style tasks that span many files. Cursor will do them, but Claude Code is purpose-built for that and tends to be more reliable.
Pick Cursor if you want one editor that handles 80% of your daily AI usage in the context of typing.
Claude Code
Claude Code is Anthropic's agent CLI. You point it at a task, it reads files, edits them, runs commands, and reports back. The shape of the work is different from Cursor: instead of editing while you type, Claude Code goes off and runs.
What it is good at: bigger tasks. “Refactor this module to use the new auth system” is a Claude Code task, not a Cursor task. It is also unusually good at reading your codebase context before making changes.
What it is not great at: live typing flow. If you want suggestions as you type, Cursor or Copilot win. Claude Code is for tasks you'd normally hand to a coworker, not the keystroke-by-keystroke loop.
Pick Claude Code for multi-file work, refactors, and tasks where you would otherwise be typing for an hour straight.
Codex
Codex is OpenAI's agent CLI, the closest counterpart to Claude Code on the OpenAI side. You point it at a task, it edits files and runs commands, then reports back. Same shape of work, different model family.
What it is good at: bigger tasks, like Claude Code. If you already have an OpenAI API key and prefer that ecosystem (or want to compare model behavior on the same task), Codex is the obvious pick.
What it is not great at: live typing flow, again. Codex is task-driven, not keystroke-driven. The same caveats as Claude Code apply.
Pick Codex if you want an agent CLI in the OpenAI ecosystem.
GitHub Copilot
Copilot is the most-used AI coding tool by raw numbers, mostly because it works inside almost every editor. VS Code, JetBrains, Neovim, plus a chat panel and a command-line companion.
What it is good at: ubiquity. If you do not want to switch editors, Copilot meets you where you already are. The completions are good enough for most boilerplate.
What it is not great at: depth. Cursor's codebase awareness is sharper. Claude Code's agent mode is more capable. Copilot is a strong default and a weak peak.
Pick Copilot if you want the lowest-friction option that works everywhere you already work.
Aider
Aider is a terminal-first AI coding tool. You run it in a directory, give it a task, and it edits files, runs git, and shows diffs in your terminal. It supports many providers (Anthropic, OpenAI, local models) and stays out of your editor entirely.
What it is good at: minimalism and provider choice. If you want to bring your own model and stay in the terminal, Aider is the cleanest option. The git integration is genuinely useful: every change is committed automatically with a message describing the edit.
What it is not great at: live typing flow, again. Aider is task-driven, not keystroke-driven.
Pick Aider if you live in a terminal, care about model choice, and like the idea of an AI that commits as it works.
The layer none of them fill
Claude Code, Cursor, Codex, Copilot, and Aider all do the same fundamental thing: they help you write code faster.
None of them help you remember what you wrote.
That gap is real. When you ship fifty commits in an afternoon with Claude Code, Cursor, or Codex, your git log is unreadable by the next morning. Your standup is paralyzing because you cannot account for what landed. Your Monday is a hour of re-reading your own diffs to onboard yourself. (I wrote the long version of this argument here.)
This is the layer AskScout fills. It reads your git history and writes a daily digest in plain English. Sections cover what shipped, what changed, what kept getting reworked, and where you left off. It runs as a hosted web app you sign in with GitHub, or as a CLI in any local repo with your own LLM key. Same digest, either way. It does not compete with Claude Code, Cursor, Codex, Copilot, or Aider. It runs after them.
The pattern that works for most solo developers I know: one of these tools for writing code, AskScout for keeping track of what you wrote.
Frequently asked questions
What is the best AI coding tool for solo developers?
It depends on how you work. Cursor is the strongest editor experience for everyday typing. Claude Code wins for agent-driven multi-file edits. Codex is OpenAI's equivalent agent CLI, useful if you prefer the OpenAI ecosystem. GitHub Copilot is the most flexible inside whatever editor you already use. Aider fits best if you prefer the terminal. Most solo developers end up using two of these together.
Is Cursor better than Claude Code?
They solve different problems. Cursor is an editor with AI throughout the typing flow. Claude Code is an agent that runs longer tasks across multiple files at once. Solo developers often use both, switching based on the size of the task. Quick edits go to Cursor. Multi-file refactors go to Claude Code.
Do AI coding tools track what they wrote for me?
Mostly no. Claude Code, Cursor, Codex, GitHub Copilot, and Aider write code. They do not summarize what shipped at the end of the day. Tracking what you actually built across an AI-assisted session is the layer that AskScout fills next to these tools.
Are AI coding tools worth it for indie hackers?
Yes for output, with caveats. They will not replace judgment, and they will not eliminate the need for tests. They are best at scaffolding and repetitive refactors, weakest at architecture. Pair them with a tool that summarizes your work so you do not lose track of what you built.