We can’t fix all holiday bugs, but we’re glad Codeac could help fix some in your code this year. 🐞 Thanks to everyone using Codeac this year, and to the team making it happen. Happy holidays! 🎄
Codeac.io - Code Quality CI Tool
Software Development
London, England 399 followers
Codeac.io helps developers fight technical debt and deliver better code faster.
About us
We were working with companies struggling with technical debt and long debugging and that's why we developed Codeac.io. It is designed to stop building up technical debt by continually analyzing your source code and providing actionable feedback for improving it every time you push a new commit. Easy to integrate with popular version control systems like GitHub, Bitbucket, and GitLab, Codeac.io provides you with a dashboard for tracking your technical debt and helps prioritize the issues you need to deal with now and which can wait until later. - Identify new Static Analysis issues - Commit and Pull Request Analysis with GitHub, BitBucket, GitLab - Track issues Code Style, Security, Error Proneness, Performance, Unused Code, and other categories - Measure your CycleTime - the amount of time from the first commit to production release - Codeac.io also helps keep track of Code Duplication, and Code Complexity
- Website
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https://www.codeac.io?utm_campaign=linkedin
External link for Codeac.io - Code Quality CI Tool
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- London, England
- Type
- Privately Held
- Founded
- 2018
- Specialties
- Serverless, Cloud Computing, Data Analysis, Machine Learning, Code Quality, and Technical Debt
Products
Codeac.io
Static Code Analysis Tools
Codeac is an Automated Code Review Tool that monitors your technical debt, helps you improve your code quality, teaches best practices to your developers, and helps you save time in Code Reviews. Among Codeac’s features: - Identify new Static Analysis issues - Commit and Pull Request Analysis with GitHub, BitBucket, GitLab - Track issues CodeStyle, Security, Error Proneness, Performance, Unused Code, and other categories - Codeac also helps keep track of Code Duplication, and Code Complexity. Codeac supports PHP, Python, Ruby, Java, JavaScript, TypeScript, among others. Codeac is free for Open Source projects.
Locations
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Primary
Get directions
20-22 Wenlock Road
London, England N1 7GU, GB
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Get directions
Petra Křičky 2697/23
25
Ostrava, Moravian-Silesia 70200, CZ
Employees at Codeac.io - Code Quality CI Tool
Updates
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🎄 For the third year in a row, our team got together to visit the Christmas market. It's a tradition that has naturally become something we all look forward to each year. It was a great opportunity to spend time together outside of work, enjoy the festive atmosphere, share good conversations, and enjoy great food along the way. Moments like these remind us that what we’re building isn’t just a company, but a team. We’re grateful for the time spent together and excited to continue this tradition in the years to come.
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Shadow variable declarations are a subtle but common source of confusion in codebases. When a local variable uses the same name as one in an outer scope, it shadows the original, making the global value inaccessible and the code harder to read. Clear naming and avoiding shadowing keep your code predictable, maintainable, and easier for others (and future you!) to understand. #TechnicalDebt #SoftwareDevelopment #CleanCode #programmingtips #StaticAnalysis #BestPractices #CodeQuality
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Every engineer knows this truth: squash one issue, and another sneaks in. But that’s not failure, it’s the nature of building complex, evolving systems. At Codeac.io, we see these “one more bugs” not as setbacks, but as opportunities: to strengthen code quality, prevent hidden risks, and keep teams shipping with confidence. You’ll never reach a perfectly bug-free state. But you can build software that stays healthy as it grows, and that’s what really matters. #Codeac #CleanCode #StaticAnalysis #SoftwareEngineering #ContinuousImprovement
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Writing cleaner code often starts with small improvements. One simple change? Avoid unnecessary else statements. By using early returns, you reduce nesting, clarify intent, and keep your functions easier to read and maintain. This small change can significantly improve code quality across your codebase. Codeac highlights patterns like this to help teams write cleaner, more maintainable systems every day. #CleanCode #CodeQuality #Refactoring #BestPractices #TechnicalDebt
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⚠️Stop using assert for critical checks in Python. When Python runs with the -0 flag, all assert statements are removed, which means important validations might never run in production. A simple fix is to replace assert with explicit conditionals and proper exceptions. This is exactly the kind of issue Codeac catches automatically. Our analyzers highlight unsafe assert usage, alongside many other issues, before it ever reaches your users. Ship safer code with confidence. 🚀 #Python #CodeReview #CodeQuality #Codeac #TechnicalDebt
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Ever spent too long debugging a strange JavaScript comparison issue? It might be the == operator silently converting types. That’s why it’s best practice to always use ===, the strict equality operator that compares both value and type. Codeac helps your team by automatically flagging risky == comparisons during reviews, keeping your codebase consistent, predictable, and bug-free. Write safer code, faster with Codeac. #JavaScript #CodeReview #CodeQuality #Codeac #TechnicalDebt
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When building Docker images, every unnecessary package adds size, complexity, and potential vulnerabilities. By using the --𝘯𝘰-𝘪𝘯𝘴𝘵𝘢𝘭𝘭-𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘴 flag, you install only what you truly need and nothing more. A small tweak, but a big impact on performance, security, and build times.💡 #Docker #DevOps #BestPractices #Codeac #Containers #Security
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We’re having a great time at AWS Cloud Day Prague! ☁️ We’re always learning new AWS skills so we can bring the latest cloud insights and improvements to our users. 🚀 #AWSCloudDay #Prague #Codeac #CloudComputing #Learning
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🧠 Cyclomatic Complexity - why to have it under control? Ever looked at a function and thought, “Wait… what’s going on here?” That’s cyclomatic complexity in action. It measures the number of possible paths your code can take. The higher the number, the harder it is for developers to keep the logic in their heads. And when it’s hard to understand, it’s harder to test, change, and trust. Keeping complexity low means: 🧩 Faster debugging 🔧 Easier refactoring 🚀 Fewer bugs in production Would you like to measure your Complexity? Just sign up for free here: https://lnkd.in/ewVCJ7A4 #JavaScript #CleanCode #CodeQuality #TechnicalDebt #Complexity #Maintainability #Refactoring #Programming #DeveloperExperience
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