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Best right now

Best AI coding stack right now

For developers building real applications. · Updated May 1, 2026

If you're starting fresh today and your job is to ship working software with AI in the loop — this is what we'd use. Picks are weighted toward what produces correct code in real codebases, not what scores best on toy benchmarks.

  1. #1

    Claude Code

    Best long-session retention and refactor quality of any agent we've tried.

    Anthropic's CLI agent stays coherent across multi-hour sessions where Cursor's and Codex's drift. The 1M-context Opus 4.7 variant changes what fits in one prompt — entire monorepos, not just files. Cost per session is real but cache-hit-aware prompting keeps it sane.

    Slower than Cursor for navigation-heavy tasks. Pair them.
    See Claude Code
  2. #2

    Cursor (with agent mode)

    Fastest editor experience + agent mode that actually plans.

    Cursor is still the most polished AI-native editor. The 0.45 agent is good for medium-scope changes (10-30 file diffs) where you want speed over depth. Best for the navigation, autocomplete, and command-palette workflow that beats Claude Code on raw iteration speed.

    See Cursor (with agent mode)
  3. #3

    Cline (for MCP-heavy workflows)

    Native MCP support means tool integrations without glue code.

    If your AI workflow involves database queries, browser automation, or custom tools, Cline 3.0's native MCP makes integrations trivial. Less polished than Claude Code on raw coding, but the ecosystem is broader. Worth running alongside one of the picks above.

    See Cline (for MCP-heavy workflows)

Past picks

  • April 2026
    Was: Cursor #1, Claude Code #2, Cline #3
    Why we changed: Switched the top two after Opus 4.7 (1M context) shipped. Long-session retention got decisively better with Claude Code; Cursor kept the speed edge but moved to #2 for raw correctness on hard refactors.

Disagree with these picks? Browse the full library and decide for yourself.