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CodeRifts
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CodeRifts detects breaking changes in OpenAPI schemas on every pull request. It scores risk across 4 dimensions (revenue impact, blast radius, app compatibility, security), enforces governance policies before merge, and translates technical API changes into business impact โ blast radius, affected clients, and estimated cost.
Works with GitHub, GitLab, Bitbucket, and any CI/CD pipeline. Zero config. Free to start.
Key features: - Breaking change detection with risk scoring (0-100) - Policy engine: breaking budgets, freeze windows, approval matrix - Economic impact estimation: cost and engineering effort - Security analysis: auth changes, sensitive field exposure - Auto-changelog and semver suggestions - GitHub App, GitHub Actions, GitLab CI, Bitbucket Pipelines, REST API, CLI
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CodeRifts's answer:
Currently in beta, onboarding early adopters
CodeRifts's answer:
CodeRifts is the only API governance tool that combines breaking change detection with risk scoring, policy enforcement, and economic impact estimation โ all delivered as a zero-config GitHub App. It does not just tell you what changed, it tells you how dangerous it is, who it affects, and what it will cost to fix.
CodeRifts's answer:
A field rename broke a POS system across 19 restaurants for a week. The PR passed code review, all tests were green, nobody checked the API schema. CodeRifts was built to catch this class of problem before merge โ automatically, on every pull request.
CodeRifts's answer:
Most tools only diff your OpenAPI specs. CodeRifts goes further: it scores risk across 4 dimensions, enforces governance policies before merge, estimates migration costs in dollars and engineering hours, and works with GitHub, GitLab, Bitbucket, and any CI/CD pipeline. One YAML file replaces review meetings.
CodeRifts's answer:
Senior backend engineers, platform engineers, and staff engineers at companies with microservices architectures who need to prevent breaking API changes from reaching production.
CodeRifts's answer:
Node.js, Express, GitHub Apps API, OpenAPI diff engine, Railway, Cloudflare Pages
You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be more popular. It has been mentiond 485 times since March 2021. 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.
> but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / 12 days ago
Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / about 1 month ago
The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / about 2 months ago
The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / about 2 months ago
AWS Secrets Manager provides managed secrets storage with automatic rotation for RDS databases, Redshift clusters, DocumentDB, and other common services. For applications running on AWS infrastructure, Secrets Manager integrates directly with Lambda, ECS, EKS, and EC2 at the platform level, injecting secrets into the application environment without requiring files on disk or manual retrieval code. - Source: dev.to / 3 months ago
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