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Checksum.aiAI coding tools have fundamentally changed how software gets built. Developers are shipping more code, faster, with less friction than ever before. But the organizations benefiting most from AI-accelerated development are running into the same wall: quality hasn't kept pace. More code means more surface area for bugs. More PRs means more review burden on senior engineers. More releases means more chances for regressions to reach customers. The bottleneck has moved from writing code to verifying it, and verification is still largely manual. Checksum is a continuous quality platform built for this reality. Its suite of AI agents autonomously generates, runs, and maintains tests across every layer of the software development lifecycle: end-to-end UI flows, API endpoint coverage, and PR-level CI validation, so engineering teams can move fast without sacrificing reliability. What sets Checksum apart: it doesn't wait for instructions. It works as a background agent, continuously monitoring your codebase, generating tests for what matters, and repairing broken tests as the product evolves. Seventy percent of test failures resolve automatically, eliminating the maintenance burden that causes most test suites to decay and get abandoned. Every test Checksum produces is real, Playwright code you own, submitted as a PR to your repository. No vendor lock-in. Teams keep full control. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents via /checksum slash commands. Testing happens before code review, not after. Generation and healing run on Checksum's cloud, consuming no LLM tokens or local resources. The bottom line: Checksum gives engineering teams the confidence to ship at the speed AI makes possible.
What is ChaosIQ?
Set, manage, and validate your system's reliability objectives (SLOs) along with pertinent metrics (SLIs). Gather all dependable activities in a centralized location while pinpointing necessary actions to be taken. Evaluate the impact on your system’s reliability by analyzing how your infrastructure, team members, and processes are prepared for and respond to adverse conditions. Structure your Reliability Toolkit to correspond with your operational framework, mirroring the organization and teams you collaborate with. Develop, import, execute, and extract valuable insights from comprehensive chaos engineering experiments and tests by utilizing the open-source Chaos Toolkit. Keep a consistent watch on the impacts of your reliability efforts over time by measuring essential indicators like Mean Time to Recovery (MTTR) and Mean Time to Detection (MTTD). Proactively uncover weaknesses in your systems before they develop into significant issues through chaos engineering methodologies. Examine how your system reacts to repeated failures by designing specific experimental scenarios to observe the tangible advantages of your reliability investments, ultimately fostering a more robust operational environment. By engaging in these evaluations and experiments on a regular basis, you can substantially enhance your system's durability and elevate overall effectiveness. This consistent approach not only fortifies operational resilience but also cultivates a culture of continuous improvement among your teams.
What is AWS Fault Injection Service?
Recognize the limitations in performance and potential weaknesses that traditional software testing may overlook. It is crucial to set definitive guidelines for stopping an experiment or returning to the pre-experiment state. Conduct tests rapidly by utilizing predefined scenarios from the extensive library provided by the AWS Fault Injection Service (FIS). By simulating authentic failure conditions, teams can gain deeper understanding of how different resources may perform under strain. As part of the AWS Resilience Hub, FIS serves as a robust tool for executing fault injection tests to improve application performance, visibility, and durability. The service simplifies the process of setting up and conducting controlled fault injection tests across various AWS services, which helps teams cultivate confidence in how their applications behave. Additionally, FIS incorporates vital safety features that allow teams to run experiments in production environments with safeguards in place, such as the automatic ability to halt or revert the experiment based on specific pre-established criteria, thereby enhancing overall safety during testing. This functionality equips development teams with the knowledge they need to navigate their applications in high-pressure situations and prepares them for unforeseen challenges. Ultimately, the use of FIS not only improves resilience but also fosters a more proactive approach to application performance management.
Integrations Supported
API Availability
API Availability
Pricing Information
$75 per month
Pricing Information
$0.10 per action-minute
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
ChaosIQ
Date Founded
2017
Company Location
United Kingdom
Company Website
chaosiq.io
Company Facts
Organization Name
Amazon
Company Location
United States
Company Website
aws.amazon.com/fis/
Categories and Features
Application Performance Monitoring (APM)
Not specified
Chaos Engineering
Not specified
Categories and Features
Chaos Engineering
Not specified