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Auggie CLI (Augment Code)

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Augment Code's coding CLI powered by the Augment Context Engine — a semantic codebase index. SWE-bench Pro: 51.80% on Augment's own scaffold (highest raw number in the category). 153 GitHub stars. No public release as of 2026-03-18.

Connector
Orchestrator

43/100

Trust

153

Stars

2

Evidence

Videos

Reviews, tutorials, and comparisons from the community.

Playwright Can't Do This... But This MCP Can.

Augment Code·2025-08-13

Auggie CLI: Smartest + Most Powerful AI Agentic Coder! RIP Claude Code & Gemini CLI!

WorldofAI·2025-08-29

Meet Auggie CLI The Smartest Coding Agent Yet by Augment Code. CLAUDE CODE KILLER?

The Metaverse Guy·2025-08-26

Editorial verdict

Highest SWE-bench Pro number in the category (51.80% on Augment scaffold), but the scaffold is not standardized — they used the same Opus 4.5 model that scores 45.89% on SEAL's standardized setup. The architecture/scaffolding advantage is credible and meaningful. Cannot rank above tools with millions of verified installs on a single blog-post benchmark. Watch for: public GA release and independent SWE-bench reproduction.

Public evidence

moderateSelf-reported2026-03
Augment blog: Auggie tops SWE-bench Pro at 51.80% (Augment scaffold)

Auggie scores 51.80% on SWE-bench Pro using the Augment Context Engine scaffold — the highest raw number in the category. The blog acknowledges the same Opus 4.5 model scores 45.89% on SEAL's standardized scaffold, validating that the gap is scaffold architecture, not model capability.

Official Augment blog postAugment Code team (official, self-reported)
strong2026-03
SEAL SWE-bench Pro leaderboard: standardized scores verified 2026-03-18

SEAL's standardized SWE-bench Pro leaderboard confirms Claude Code scaffold at 45.89% (#1). Augment's 51.80% is not on this leaderboard — it uses a non-standardized scaffold. Context for interpreting Augment's claim.

SEAL public leaderboard (Scale AI, standardized)SEAL (Scale AI Evaluation Lab — independent evaluation)

How does this compare?

See side-by-side metrics against other skills in the same category.

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Where it wins

51.80% SWE-bench Pro on Augment scaffold — highest raw number in the category

Augment Context Engine: semantic codebase index with deep code understanding

Architecture advantage is credible: same model, better scaffold → +5.91pp over SEAL standardized

Where to be skeptical

No public release — 153 GitHub stars, not generally available

Benchmark uses Augment's own non-standardized scaffold — not an apples-to-apples comparison

No independent SWE-bench reproduction published

Cannot verify claims without public artifact

Ranking in categories

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Raw GitHub source

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