Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
codebeat
kgai.dev
Graphiti
cognee
Kodingo
Memori
Mem0
Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
kgai is an open-source Claude Code plugin: a local-first, immutable knowledge graph of your team's engineering decisions. Your agent records the decisions behind the code (what changed, why, and the dead ends you ruled out), recalls the relevant ones before it edits an area, and new decisions supersede old ones so nothing is overwritten. Written in Go, MIT licensed. Team sync is opt-in over an S3 bucket you own.
CodacyNo kgai.dev videos yet. You could help us improve this page by suggesting one.
kgai.dev's answer:
Go. An embedded graph database (Kuzu). An event-sourced, append-only decision log. Distributed as a Claude Code plugin (hooks, skills, and slash commands). Optional team sync over S3.
kgai.dev's answer:
kgai stores engineering decisions as an immutable graph, not editable notes. When a decision is reversed, the new one supersedes the old, and the old decision stays in history together with the reason it died. Dead ends are preserved on purpose. Most memory tools overwrite or summarize, which quietly deletes exactly the context you need months later.
kgai.dev's answer:
Three things competitors usually don't combine: immutability with first-class supersession (nothing is overwritten), preserved dead ends (why an approach was rejected, so the AI stops re-proposing it), and local-first design (your code and decisions never leave your machine, team sync is opt-in over storage you own). It's MIT open source, not a hosted black box.
kgai.dev's answer:
Software teams building with AI coding agents, especially teams using Claude Code where the reasoning behind the code lives in people's heads and gets lost between sessions and teammates.
kgai.dev's answer:
AI coding agents kept confidently re-proposing approaches the team had already tried and rejected. The decision existed, but nobody remembered why, and nothing in the repo recorded it. kgai was built so the codebase and the AI share a durable memory of the decisions behind the code, including the ones that were reversed and the dead ends.
Based on our record, Codacy seems to be more popular. It has been mentiond 4 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.
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 4 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: about 5 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / over 5 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 5 years ago
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Graphiti - Build personalized AI agents that learn from dynamic data
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
cognee - Memory for AI Agents
CodeFactor.io - Automated Code Review for GitHub & BitBucket
Kodingo - Project memory for AI-assisted development
