Coding assistants stopped being autocomplete. The useful ones plan, edit across files, run tests, and open PRs.
What matters now
- Repo reach — can it hold the project, not a single file?
- Agent loop — edit → run → fix without you babysitting every step
- Model underneath — the board moves weekly; the IDE wrapper lags
Per Artificial Analysis (snapshot 2026-08-02), the LLM board is led by Claude Opus 5 (Adaptive Reasoning, Max Effort, score 61), then Opus 5 Xhigh / Claude Fable 5 (60), then GPT-5.6 Sol (max) at 59. For agentic coding specifically, Sol often leads coding-agent harnesses even when Opus sits higher on general intelligence. Pick the model for the job; pick the IDE for the loop.
The tools
Claude Code
Terminal-first. Strong when you want Anthropic’s frontier stack on a repo with clear goals. Pairs naturally with Opus 5 when you need careful refactors.
Cursor
Still the fastest path for multi-file edits inside a familiar editor. Use it when you want tight human-in-the-loop control.
GitHub Copilot Agent Mode
Best when your workflow already lives in GitHub PRs and Actions. Less flashy; more “ship the branch.”
Windsurf / other agent IDEs
Worth a look for longer “flow” sessions. Treat demos carefully — verify on your own repo.
Quick pick
| Need | Start here |
|---|---|
| Deep refactor, high stakes | Claude Code + Opus 5 |
| Daily multi-file edits | Cursor |
| PR-native teams | Copilot Agent Mode |
| Pure coding-agent bench chase | GPT-5.6 Sol in your harness |
Scores change. Re-check the Models & Makers index before you standardize a stack.