Informative

A collection of 88 posts

Informative

Internal Developer Platforms, Developer Portals & Beyond

Decoding the modern developer experience. Learn the key dimensions to evaluate them and discover what lies beyond the traditional IDP model.

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From Dev Chaos to Cloud Clarity: No More “It Works on My Machine”

Tired of the “It works on my machine” 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.

Informative

From Friction to Flow — 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.

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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

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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.

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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.

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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

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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.

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Is PostgreSQL the Only Vector Database You Will Ever Need?

PostgreSQL provides pgvector extension, an efficient extension for LLM-based applications to replace costly dedicated vector databases.

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AI Summarization of Long Documents: Tackling Long Documents with Precision

Long texts are difficult to summarize, but recursion can divide them into small parts. The approach is precise and preserves the meaning at any step of iteration.

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Taking Advantage of the Long Context of Llama 3.1

Llama 3.1 allows a context window of 128k tokens. We investigate how to take advantage of this long context of Llama without running into performance issues.

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Exploring Options for Open-Source Multimodels in 2024

The ability of multimodels to understand several data sources like text, audio, and images enables them to understand and generate nuanced, accurate, and contextually aware responses. We explored some of the best open-source multi-models available out there.

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Best sub 7b AI model for categorizing documents in August 2024

Documents classification can be achieved by using a fine-tuned discriminative model or doing some prompt engineering and using a generative model for the task.

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Best Open Source Sentence Embedding Models in August 2024

Sentence embedding models capture the overall semantic meaning of the text. We tested and compiled the best-performing open-source models for you.

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Example Project for a Landscape Deployment on Codesphere

This template utilizes Codesphere's new Landscape Deployment feature, which allows us to deploy complex monorepo applications.

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Moving past VMware: Migration vs. Lift & Upgrade

Migrating enterprise stacks from VMware to any other hypervisor stack takes considerable effort. Why upgrading to container based stacks might be the better bet.

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Introducing the new Codesphere Visual Studio Code extension

Utilize the full power of the cloud within VS Code with the new Codesphere extension.

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You Build It You Run It: DevOps on Steroids

"You build it, you run it" breaks down long-standing barriers, placing deployment, monitoring, and maintenance directly in the hands of developers. Let's see how it stacks up in practice.

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Why virtualization software stacks are no longer mandatory

Why virtualization software like VMware is no longer a hard requirement for many companies.

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Good Coding Practices: Codesphere Version

Adhering to good coding practices and maintaining a consistent codebase is the differentiating factor when it comes to developer experience and efficiency.

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Role of Functional Testing in DevOps and Agile

Functional testing plays a vital role in DevOps and Agile developmental approaches to help deliver quality products faster. Read on to understand how it works.

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TYPES OF AI: A Comprehensive Account of Modern Closed & Open Source Models

Artificial Intelligence has made great progress in all its fields like computer vision, NLP, and audio processing. Here is a detailed account of what kinds of AI models exist and what they can do.

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Migrating legacy Software to the Cloud

Whitepaper: Legacy applications require adjustments before migrating - a necessity but also a unique opportunity.

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AI-Enhanced Knowledge Hub: Improving Access to our Blog and Docs

Codesphere's info revamp merges blogs & docs, using Qdrant & AI for seamless, natural language searches. Now, users easily access comprehensive tutorials & guides directly from our docs.

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The secret to building high quality software at scale

How enabling developers to manage deployments as self-services allows you to build high quality software at scale. Faster.