ALMtoolbox Blog

Explore Sonar’s complete code quality & security: SonarQube, SonarCloud, Vortex, Gitar, and MCP Server for advanced SAST, SCA and code review

Learn how to reduce AI spending with LiteLLM using virtual keys, per-user budgets, team and organization limits, tags, rate limits, spend tracking, alerts, model fallbacks, automatic routing, prompt caching, and AI cost governance

AI is everywhere in software engineering right now, but one question still matters more than the rest: is it actually helping your team ship better software? If your organization runs on GitLab, Milestone AI gives you a practical way to answer that question. Instead of relying on assumptions, it connects GitLab activity with AI usage […]

This article provides a current overview of the various licensing and installation (deployment) options for GitLab

GitLab 19 was recently released and we’ve made two unique lists of GitLab features: all features and what’s new

ALM Toolbox has been chosen as the Selected GitLab Integrator by independent research firm STKI

If you use AWS Bedrock for LLM consumption and you have multiple AWS accounts, LiteLLM can help you build a resilient failover layer so your users do not feel the impact when one account runs out of quota or becomes unavailable. The idea is simple: LiteLLM sits between your applications and Bedrock, keeps a single […]

Sonar Vortex is a new product from Sonar designed to make AI-based code agents more efficient, controlled, and secure, through deep integration with SonarQube and an agent-driven development loop. Vortex unifies Context Augmentation and Agentic Analysis capabilities into a single product that operates within the agent’s own inner loop – at an early stage and in real time – instead of later checks […]

Learn how SonarQube helps teams write more secure Java code with static analysis, security rules, CI/CD checks, and security reports.

Discover how to optimize and significantly reduce your Claude Code costs using LiteLLM. Explore virtual key budgets, automatic prompt caching, prompt compression with headroom, MCP tool deferring, and smart auto-routing.

A customer story on using SonarQube to detect third-party vulnerabilities (SCA) as well as vulnerabilities in human- and AI-written code (SAST static code analysis) and improve quality.

Due to many questions we receive regarding the differences between the editions of the product LiteLLM, we have prepared a detailed and organized list (also categorized by topic), which contains the product capabilities available only in the Enterprise edition (the paid commercial edition). There are nearly 60 such capabilities available only in the paid edition. The list covers the following topics: We have also added Excel filters to the list for ease of use, with sorting and text search options. To download […]

LiteLLM is a practical way to add AI capabilities to Git-based automation without locking yourself into a single model provider. For teams using GitHub or GitLab, it can sit in the middle as a unified AI gateway for code review, commit assistance, merge request analysis, and CI-driven automations. That makes it especially useful when you […]

Milestone is an engineering intelligence platform focused on turning real development activity into a system of record for GenAI adoption, productivity, and code quality, rather than just counting seats or tokens. It connects to your repos and tooling, attributes which code was AI-assisted, and then exposes that through product areas like Vibe Metrics, GenAI Adoption […]

In this article we go one level deeper and explain the main capabilities of the LiteLLM AI Gateway:cost tracking, batches API, guardrails, model access, budgets, LLM observability, rate limiting, prompt management, S3 logging and pass-through endpoints – and why DevOps / Platform / Architecture teams care about them. As we recently shared, We (ALM Toolbox) […]