Updates and recent posts about GPT..

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@devopslinks shared a link, 1 week, 4 days ago

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How I Dropped Our Production Database and Now Pay 10% More for AWS

Planned migration shifts the static site fromGitHub PagestoAWS S3. DNS moves toAWS.Djangostages on a subdomain before the main domain swaps. ATerraformauto-approve ran with no remote state. It destroyed productionRDS,VPC,ECS, and automated snapshots.AWSfound a hidden snapshot and recovered the DB in.. read more

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@devopslinks shared a link, 1 week, 4 days ago

FAUN.dev()

Why Serverless Compute Partners Are Now More Important Than Ever

The note saysAIworkloads are bursty. They spawn parallel tool calls, pull multi‑GB model weights into RAM, and endure long cold starts (e.g.,vLLM,SGLang). Companies wrestle with a fragmentedGPUmarket and poor peakGPU utilization. To hit latency, compliance, and cost targets they adoptmulti‑region/mu.. read more

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@shubham321 shared a post, 1 week, 5 days ago

Software engineer, Keploy

What Is QA Automation? Benefits, Tools, Challenges & Future

QA automation is a modern software testing approach that uses automated tools and frameworks to execute test cases efficiently and consistently. Instead of relying solely on manual testing, QA automation enables teams to validate application functionality, performance, and reliability at every stage of the development lifecycle. It plays a crucial role in Agile and DevOps environments, where frequent code changes and faster release cycles demand continuous testing.

One of the biggest advantages of QA automation is speed. Automated tests can run in minutes, allowing teams to detect defects early and provide quick feedback to developers. This leads to improved software quality and reduced risk of critical issues reaching production. Automation also enhances accuracy by eliminating human errors that commonly occur in repetitive manual testing tasks.

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@suarezsara shared a post, 1 week, 5 days ago

Why SharePoint Application Development Still Powers Enterprise Collaboration in 2026

Learn how businesses use SharePoint for workflow automation, seamless Microsoft 365 integration, and enhanced governance.

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@sancharini shared a post, 1 week, 5 days ago

Types of Regression Testing in CI/CD Pipelines

Learn how different types of regression testing in CI/CD pipelines help teams detect defects early, maintain software quality, and reduce production risks while optimizing automated workflows.

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@sancharini shared a post, 1 week, 5 days ago

How Regression Testing Detects Hidden Defects Before They Reach Production?

Understand how regression testing helps teams identify hidden defects early, maintain system stability, and prevent production issues using effective testing strategies and regression testing tools.

How Regression Testing Detects Hidden Defects Before Production

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@elenamia shared a post, 1 week, 5 days ago

Technical Consultant, Damco Solutions

Is Your Application Evolving or Aging? The Role of Software Maintenance Services in Continuous Improvement

Read this blog to learn how software maintenance services fuel continuous improvement, prevent downtime, and protect your digital investments.

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@marxjenes shared a post, 1 week, 5 days ago

State Transition Testing Techniques for Microservices Applications

Learn effective state transition testing techniques for microservices applications. Ensure reliable service behavior, validate workflows, and strengthen regression testing in CI/CD pipelines.

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@kala added a new tool Claude Code , 1 week, 5 days ago.

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@kala shared an update, 1 week, 5 days ago

FAUN.dev()

NanoClaw Brings Container-Isolated AI Agents to WhatsApp and Telegram

#OpenCla... #contain... #AI agen... #NanoCla... #PicoCla...

NanoClaw is a lightweight open-source personal AI agent that runs locally and connects to apps like WhatsApp and Telegram. Built with only ~3,900 lines of code across 15 files, it uses container isolation to securely run agents and aims to offer a simpler, fully auditable alternative to large frameworks like OpenClaw.

GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.