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Usage.ai is an automated cloud cost optimization platform designed to help companies reduce infrastructure spending across AWS environments. The platform focuses on optimizing commitment-based pricing such as AWS Savings Plans and Reserved Instances.
Instead of manually forecasting infrastructure usage and purchasing commitments, Usage.ai continuously analyzes real-time cloud consumption and automatically manages commitments to maximize savings while minimizing the risk of unused capacity.
Engineering and FinOps teams use Usage.ai to improve their effective savings rate, reduce manual cloud cost management work, and gain better visibility into infrastructure efficiency.
By automating commitment purchasing and optimization, Usage.ai helps organizations achieve predictable cloud savings while allowing engineering teams to focus on building products instead of managing cloud pricing complexity.
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Usage AI's answer:
Usage.ai automates cloud commitment management with AI, continuously optimizes savings across AWS, Azure, and GCP, and protects customers with Insured Commitments that reduce the risk of underutilized commitments.
Usage AI's answer:
Usage.ai doesn't just recommend savings - it automatically purchases, manages, and optimizes cloud commitments, backed by Insured Commitments that reduce financial risk and maximize long-term savings.
Usage AI's answer:
Usage.ai is built for DevOps, FinOps, Cloud Architects, Engineering leaders, and IT decision-makers who want to reduce cloud costs across AWS, Azure, and GCP without manual commitment management.
Usage AI's answer:
Usage.ai was founded in 2020 after its founder saw companies either overpaying for cloud infrastructure or avoiding long-term cloud commitments because of the financial risk. The company set out to make cloud savings automatic, risk-free, and easy, helping businesses save without code changes or lock-in.
Usage AI's answer:
Primary technologies used by Usage.ai:
Based on our record, Prettier seems to be a lot more popular than Usage AI. While we know about 304 links to Prettier, we've tracked only 3 mentions of Usage AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Line length, spacing, and indentation matter. My preference for code is roughly 80 to 110 characters. Longer lines become tiring to scan, while very short lines can create excessive wrapping. For formatting, tools like Prettier reduce debate and keep code visually consistent across contributors. - Source: dev.to / 13 days ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
Prettier and ESLint are useful tools for establishing consistent code style as a baseline before starting structural refactoring - style differences in a diff make behavioral changes harder to spot. OWASP provides useful checklists for security-critical code review that apply directly to the critical path review step. - Source: dev.to / 2 months ago
The matcher field takes a regex pattern. Edit|Write means this hook only fires when the Edit or Write tool is used. Claude running Bash, Read, or any other tool won't trigger it. The command itself uses jq to extract the file path from the tool input JSON, then pipes it to Prettier. Every file Claude touches gets formatted automatically. - Source: dev.to / 4 months ago
The better approach: let the agent write code however it wants, then run Prettier, Black, Ruff, or ESLint. Zero ambiguity. The agent doesn't need to think about formatting at all, which means fewer tokens spent and fewer decisions that could go wrong. - Source: dev.to / 4 months ago
Thanks for sharing your project! Cloud costs have gotten ridiculously out of control (an Andreessen Horowitz report estimates that the excess cost of public cloud is $500 billion per year [1]) and it's great to see more projects tackling this problem. I'm curious to see if you plan on implementing automation, or if the tool is focused on recommendations? We've built a tool at Usage.AI that automatically buys and... - Source: Hacker News / about 4 years ago
+1 on WalterGR's question. Google Cloud recently hiked prices (again), doubling prices for some of its services [1], though Amazon has a better track record of keeping prices steady (or even reducing them) [2]. There are also newer innovations that aren't discussed in that comparison, like Google's Commited Use Discounts and Azure Reserved VM Instances (their answers to Amazon's Reserved Instances). If you're... - Source: Hacker News / about 4 years ago
FYI, you didn't provide a clear link or anything. Just the privacy policy in footer. Looks like it is this: https://usage.ai. - Source: Hacker News / over 4 years ago
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