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Story Keploy Team
@sancharini shared a post, 2 weeks ago

Making Test Management Tools Actually Work: From Tracking to Real Insight

Understand why test management tools fail and how leading teams make them work. Practical strategies for tracking, insights, and data-driven testing decisions.

Test Management Tools That Work: From Tracking to Insight
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@alicemgray86 shared a post, 2 weeks ago
Damco Solutions

AS400 Modernization Services in 2026: From Green Screen to Modern UX

For years, the green screen became the unofficial symbol of stability inside enterprise IT.

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@elsie-rainee shared a post, 2 weeks ago
Full Stack Engineer, WPWeb Infotech

Artificial Intelligence vs Machine Learning: What's the Difference?

Confused by AI vs machine learning? This guide breaks down what sets them apart, how they work together, and what it means for you.

Artificial Intelligence vs Machine Learning
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@laura_garcia shared a post, 2 weeks ago
Software Developer, RELIANOID

DevOpsDays Taipei

We're heading to DevOpsDays Taipei 2026! Join us on June 25–26 in Taipei to explore the latest in DevOps, AI, platform engineering, cloud-native technologies, and security alongside hundreds of technology professionals from across Asia. Learn more about the event and meet RELIANOID there. 👇 https://..

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@laura_garcia shared a post, 2 weeks, 1 day ago
Software Developer, RELIANOID

GLOBAL DATA SEGREGATION & PRIVACY POLICY

Data privacy, sovereignty, and compliance matter. Learn how RELIANOID manages global data governance, regional privacy requirements, and secure data handling practices across Europe, the United States, and Asia. Read our Global Data Segregation & Privacy Policy. https://www.relianoid.com/security-co..

RELIANOID COMPLIANCE GLOBAL DATA SEGREGATION & PRIVACY POLICY
Story Palark Team
@shurup shared a post, 2 weeks, 3 days ago
@palark

9 new CNCF projects from 2025: OpenTofu, kgateway, Cozystack, and others

Kubernetes OpenTofu Kubernetes Gateway API

Followingthe recent overviewof newly added CNCF projects in 2025, the next batch of Open Source tools for Cloud Native needs include: - KitOpsfor packaging AI/ML models into all-in-one bundles and deploying them. - OpenTofu, a Terraform fork created by the community. - kagent, a framework for buildi..

New CNCF Sandbox projects in 2025
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@laura_garcia shared a post, 2 weeks, 3 days ago
Software Developer, RELIANOID

Load Balancing IYC BLUE with RELIANOID

⚓ How do you ensure a yacht and fleet management platform stays available 24/7, even across challenging maritime networks? Discover how 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 delivers 𝘩𝘪𝘨𝘩 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 for 𝙄𝙔𝘾 𝘽𝙇𝙐𝙀 with intelligent load balancing, SSL offloading, API routing, and resilient failover. R..

iycblue_load_balancing_virtual_services
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@varbear shared a link, 2 weeks, 5 days ago
FAUN.dev()

Using local LLMs for agentic coding

Alex Ewerlöf walks through running open-weight models likeGemma 4locally for agentic coding via LM Studio, wiring them into Copilot and Pi as custom endpoints, with the practical traps around context length, KV-cache quantization, and cold-start prompt processing... read more  

Using local LLMs for agentic coding
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@varbear shared a link, 2 weeks, 5 days ago
FAUN.dev()

I built a Go microservices framework in 2017.

Aafaq Zahid open-sourced Keel, a Go microservices framework he extracted from eight years of production systems... read more  

I built a Go microservices framework in 2017.
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@varbear shared a link, 2 weeks, 5 days ago
FAUN.dev()

Lessons from building Code: How we use skills

The Claude Code team catalogs Anthropic's hundreds of internal skills into 9 categories, arguing the best skills fit one cleanly and that verification skills deliver the highest measurable gains, worth an engineer-week each... read more  

Lessons from building Code: How we use skills
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.