개요
주요 기능
- Terminal-
- API
- LLM
- $10 /
- API
가격
- 모델
- Freemium
- 평점
- 5.0 / 5 (4)
사용 사례
CLI , Amp , CLI.
Amp , API, , .
Amp $10 / API , .
Amp , , , LLM .
장단점
장점
- Terminal /
- LLM
- $10/
- API
단점
- API
- CLI
- API
- API
대결 기록
Pantheon에서 1회 대결.
Last battle
리뷰
4개 평가의 평균.
리뷰를 작성하려면 로그인하세요.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on daily free usage credits, and designed for agentic, multi-step coding work caught me off guard. still, I'd recommend giving it a real trial.
Does the job
Pretty happy overall. Editor integrations just works and pay-as-you-go pricing with no fixed subscription. but no dealbreakers — I'd recommend it to a friend without hesitating.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on usage-based billing, and works in both terminal and editors caught me off guard. still, I'd recommend giving it a real trial.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on daily free usage credits, and uses multiple frontier models for varied tasks caught me off guard. Less predictable billing than flat-rate tools is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Q&A
How does Amp's pricing work and is there a free tier?
Amp uses pay-as-you-go, usage-based billing with no fixed subscription. Every day you get a $10 free usage grant to experiment, and you only pay beyond that. Costs can scale with heavy use, making billing less predictable than flat-rate tools.
Where does Amp run — terminal, editor, or both?
Amp runs in your terminal and also integrates with popular code editors, so it lives inside your existing development workflow rather than a separate chat window. This makes it well-suited to engineers comfortable with CLI-based tools.
What coding tasks is Amp designed for?
Amp is built for agentic, multi-step coding work — planning, writing, refactoring, and debugging code through autonomous task execution. It routes tasks across multiple frontier LLMs to pick capable models for different coding jobs.
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