Blar

Great news—Blar now integrates seamlessly with GitLab! ?? <>?? Managing your code on GitLab? Let our AI handle your Merge Request reviews so you can focus on building, not debugging. Smarter reviews, fewer headaches. ?? Get started with Blar: https://lnkd.in/dTPSu_g6 ?? Book a demo: https://lnkd.in/dTsw9RBD Because even a clever fox could use a bit of help. ???

?? Blar just made keeping your Wiki updated way easier! ?? Keeping documentation and style guides up to date is tough, especially when valuable insights are buried in pull request reviews. ?? "This should really be on a service." ?? "We should use React 19's new feature." Sound familiar? Instead of these insights getting lost, now with -blar --add-wiki, you can automatically add your PR review comments to the Wiki, no extra effort needed. Simply comment -blar --add-wiki in the review thread, and Blar will handle the rest. ? Your reviews = instant Wiki updates ? Blar gets smarter for future PRs ? Less manual work, more accurate docs Basically, no more losing important discussions in the depths of PRs. Try it out and let me know what you think! ?? Try out Blar -> https://lnkd.in/dTPSu_g6 ?? Book a meeting -> https://lnkd.in/dTsw9RBD

?? We love open source! So we built an open-source package that transforms code repositories into graphs, giving LLMs superpowers to understand and navigate code just like we humans do. ???. The name of repository of course is Blarify ?? ?? How do we do it? We leverage AST trees using tree-sitter and connect references across files with LSP servers—just like VSCode does! ?? Supported languages: ? Python ? TypeScript ? Ruby ? JavaScript ? Go ? C# ?? Graph storage: Our package integrates with Neo4j and FalkorDB, the cutting edge of graph databases. ?? Check it out! The README includes a quick start guide that makes it easy to get up and running. ?? Bonus: We also have a pip package for easy installation [https://lnkd.in/eU5tGTCn] ?? Github link on the comments Let us know what you think, and feel free to contribute! ??

Hey everyone! I wanted to share what I've been working on. Blarify is a new version of blar-graph that simplifies turning codebases into graph structures. This helps large language models (LLMs) better understand code for tasks like debugging, refactoring, and optimization. What's new in Blarify? It now uses Multilspy instead of a custom in-house LSP solution. This makes setup easier and adds support for more languages: ?- Python ?- JavaScript ?- TypeScript ?- Ruby ?- Go ?- C# Also it now supports other cool graph databases like FalkorDB, adding even more flexibility. Blarify is completely open source and licensed under the MIT License, so feel free to fork it, use it, and contribute Check it out: - Repo: https://lnkd.in/eXp5EXw4 - Quickstart Guide: https://lnkd.in/ee-VvQHS - Join the discussion on the Blar Discord server: https://lnkd.in/eJTxwDwv

Blar + Bitbucket!?? We’re happy to announce that Blar now supports Bitbucket! ?? + ?? If you’re using Bitbucket to manage your code, let our AI review your Pull Requests and make your life easier. Who said frogs and buckets can’t get along? ?? ?? Try out Blar: https://lnkd.in/dTPSu_g6 ?? Book a meeting: https://lnkd.in/dTsw9RBD

Graphs & Meaningful Connections – The Blar Way! ?? At Blar, connections are at the heart of everything we do—whether it's people, ideas, or code. When reviewing pull requests, we index code in a graph structure, mapping relationships and dependencies to ensure quality, efficiency and understanding. Just like in life, the strongest bonds are built on understanding connections...whether between people or code. And if your relationships and dependencies are getting a little messy? Don’t worry, Blar will help you debug them! ;) ???? A little reminder from our friendly frog: ? Build strong connections (in code & life!) ? Strengthen dependencies (but avoid circular ones! ??) ? Optimize for long-term success Happy Valentines day! ?? Try out Blar: https://lnkd.in/dTPSu_g6 ?? Book a meeting: https://lnkd.in/dTsw9RBD

??: Who gave Blar ??????? ??: PR reviews are flying! ?? This was one of the most memorable moments while working with Vambe, a company growing at lightning speed and revolutionizing sales with AI across LATAM. From day one, we had incredible synergy, even launching an #AIHub together in Chile. But with rapid growth came new challenges...Keeping high-quality code without slowing down development. They tried existing PR review tools. The result? ?? Too Noisy ?? Too Slow ?? Too Irrelevant ?? Ultimately ignored Vambe challenged us to prove that Blar was different. They pushed us to the limit, demanded excellence, and we delivered. Now, Blar is the official PR reviewer for Vambe—catching critical issues before they hit production, while keeping false positives to a minimum. And because code reviews should be fun?, we built an AI-powered roast feature, because why not? ???? Want to see how Blar can transform your PR reviews? ?? Read the full success story: https://lnkd.in/etbYJsTg ?? Try out Blar: https://lnkd.in/dTPSu_g6 ?? Want your PRs roasted? Book a meeting: https://lnkd.in/dTsw9RBD Big shoutout to the Vambe team for being incredible design partners and helping us build something better! ?? #SoftwareDevelopment #AI #Coding #SuccessStory #DevOps

Blar se convertirá en la mejor solución de gestión de deuda técnica para empresas en EE.UU. y Latinoamérica. ? ???? Blar es liderada por chilenos ingenieros de software, desde sus HQ en San Francisco. Además de Platanus, estos ingenieros ex-Xepelin son apoyados por inversionistas de USA como Collide Capital . Utilizando IA y centralizando datos en un grafo de código, Blar es capaz de identificar áreas de alta deuda técnica y sugerir soluciones prácticas que impactan en el negocio. Su primer producto es un revisor de?Pull Requests?impulsado por IA que previene errores, optimiza código y consultas a la base de datos, detecta vulnerabilidades y hace cumplir las mejores prácticas de desarrollo. En solo un mes, Blar ayudó a capturar 14 bugs críticos antes del lanzamiento del producto de su primer cliente. Además, le ahorró más de 60 horas de debugging, lograron reducir en 99% las consultas a la DB en ciertos endpoints y acortar en 40% el tiempo de revisión de PRs. ? ?? https://blar.io/

From Skepticism to Concrete Results ?? Over the past month at Blar, we’ve been working closely with Finnecto, a SaaS company transforming spend procurement automation across Latin America. Their engineering team is fast-moving and agile, constantly delivering at high speed—but with that speed comes risk. They needed a safety net to catch critical bugs before they reached production. At first, Finnecto was skeptical and challenged us to prove that Blar works. Fast-forward a month, and the results speak for themselves: ?? The Results? ? 21 bugs caught—14 of them critical ? 60+ hours of debugging time saved ? 40% faster PR review process ? 99% reduction in unnecessary database queries in some endpoints Now, Blar is an essential part of Finnecto’s workflow, helping them maintain clean, high-quality code while moving at top speed. Curious about how they did it? ?? Read the full success story here: https://lnkd.in/e7T3f77K Big shout out to Vicente Espinosa and the Finnecto team! #SoftwareDevelopment #AI #Coding #SuccessStory #DevOps

Technical debt means different things to different people. Ask two people, and you’ll likely get two different answers. This is the first in a series of posts exploring technical debt. We'll explain the concept, why it’s a problem and a simple example to illustrate it. Whether you're a developer or a non-technical leader, this is for you. If your team is not shipping fast enough or you are constantly delivering bugs, technical debt might be the problem, let’s talk Blar can help.