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@kala shared an update, 4 months, 2 weeks ago
FAUN.dev()

Google Unveils Antigravity: An Agentic IDE Built for Autonomous Coding

Google Antigravity

Google introduces Antigravity, an AI-driven platform enhancing IDEs with autonomous coding capabilities, now in public preview.

Google Unveils Antigravity: An Agentic IDE Built for Autonomous Coding
News FAUN.dev() Team
@kala shared an update, 4 months, 2 weeks ago
FAUN.dev()

Finally: AI Image Generation That Handles Text Correctly - Meet Nano Banana Pro

Nano Banana Pro

Google DeepMind introduces Nano Banana Pro, an advanced image generation and editing model, enhancing creative capabilities and available globally in the Gemini app.

Finally: AI Image Generation That Handles Text Correctly - Meet Nano Banana Pro
News FAUN.dev() Team
@kala shared an update, 4 months, 2 weeks ago
FAUN.dev()

Real Repos, Real Tasks, Real Stakes: Cline-Bench Drops With $1M for Open Source

Cline-bench launches to offer realistic AI coding benchmarks, pledging $1M to support open source maintainers and enhance research with real-world challenges.

Real Repos, Real Tasks, Real Stakes: Cline-Bench Drops With $1M for Open Source
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@laura_garcia shared a post, 4 months, 2 weeks ago
Software Developer, RELIANOID

📢 RELIANOID is heading to Frankfurt!

We're excited to attend Next IT Security – C-Suites Edition: Redefining Cyber Resilience in DACH, taking place on November 27th, 2025. “The time is always right to do what is right.” – Martin Luther King Jr. This exclusive summit brings together top CISOs, CTOs, and cybersecurity leaders from across..

next IT security frankfurt relianoid
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@anjali shared a link, 4 months, 2 weeks ago
Customer Marketing Manager, Last9

Top 7 Observability Platforms That Auto-Discover Services

Auto-discovery tools now detect services as they appear and build dashboards instantly. Here are seven platforms that do it well.

grafana_tempo
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@cadet15789 shared a link, 4 months, 3 weeks ago
IT

Cut Your Docker Build Time in Half: 6 Essential Optimization Techniques

Pro tips to write dockerfiles. Cut your build timing of your images by half.

Dockerfiles
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@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID

The JLR Cyber Incident: A Warning Shot for the Automotive Industry

The major cyberattack that halted Jaguar Land Rover’s production for almost six weeks has exposed a hard truth: modern automotive manufacturing is deeply vulnerable to digital disruption. From frozen assembly lines to supplier chaos and regional economic fallout, the incident showed how quickly a si..

Supply-Chain-in-the-Automotive-Industry_RELIANOID
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@anjali shared a link, 4 months, 3 weeks ago
Customer Marketing Manager, Last9

What is AWS Fargate for Amazon ECS?

Understand how AWS Fargate runs your ECS containers without servers—just define CPU, memory, and networking, and AWS handles the compute.

aws_fargate
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@shurup shared a post, 4 months, 3 weeks ago
@palark

Helm v4 new features and changes

Helm

Helm v4 has been released a week ago. Its highlights are: - Server-Side Apply instead of 3-Way Merge - WASM plugins - Using kstatus for resource tracking - Content-based chart caching This articleprovides a detailed overview of why these changes were made in Helm v4 and what they bring for Helm user..

Story
@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID

✈️ Ensuring Efficiency and Security in Airport Operations

Today we highlight our main diagram “Airport Software Systems”, showcasing how integrated airport management platforms —from AODB to landside & airside operations, billing, and information systems— work together to ensure efficient and secure airport operations. We also explain how load balancing en..

Airport Software Systems
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.