Changelog LTS Version Q3 25
New cli, restricted domains, improved git integration, frontend improvements and more in the latest LTS version.
From Dev Chaos to Cloud Clarity: No More āIt Works on My Machineā
Tired of the āIt works on my machineā nightmare? This blog explores how Codesphere eliminates environment drift by letting you develop in production-grade cloud workspaces. so your code runs the same everywhere, from dev to deploy. Build smarter, ship with confidence.
From Friction to Flow ā How Codesphere Transforms Productivity
Discover how Codesphere transforms software development by unifying coding, CI/CD, deployment, and infrastructure into one seamless platform. Boost developer productivity, reduce DevOps overhead, and go from idea to live without switching tools or breaking flow.
Inside the {Tech: Europe} AI Hackathon at Codesphere HQ
On June 14 & 15 more than 80 engineers filled our Karlsruhe office with an unforgettable energy.
Build a Personal Chatbot with Ollama and Open WebUI
Discover how to run Ollama with Open WebUI using a streamlined Codesphere deployment. This blog walks through the benefits, use cases, and a complete step-by-step setup to launch a private, local LLM environment
Ubuntu 20.04 End of Life
As part of our ongoing commitment to security and stability, we want to inform you that the Ubuntu version used in workspaces created prior to May 21 2025 is approaching its end of life.
Smart Chat RAG: Building Document-Aware Conversational AI
A modular chat system built on RAG principles enables transparent, document-grounded conversations. It uses semantic search, LLM inference, and preprocessing like OCR and table parsing for accurate responses.
Smarter PDF Comparison: How to Catch Real Changes, Not Formatting Noise
comparison of PDFs by extracting content, detecting key changes, and producing a highlighted PDF and a detailed report.
Efficient Document Comparison for Compliance Using AI and Embeddings
AI-powered system for comparing internal documents with regulations using embeddings, chunking, and local LLMs. It avoids keyword matching pitfalls by understanding meaning, storing vectors in PostgreSQL with pgvector, and generating contextual insights
Model Context Protocol: Beyond Fragile Prompts to Secure AI Integration
The Model Context Protocol (MCP) enhances AI workflows, ensuring reliability, security, and consistency in your projects. MCP helps you build agents and complex workflows on top of LLMs.
Changelog LTS Version Q2 25
Learn what changed in the second quarterly LTS version of Codesphere. This version is typically used by on-prem installations with quarterly release cycles.
Changelog LTS Version Q1 25
Learn what changed in the first quarterly long-term-support version of Codesphere. The LTS version is typically used for on-prem installations where a quarterly release cycle is more feasible than weekly releases.