ExternalTechnology Trends
Hacker News
Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
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Engineering Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
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The Hacker News
Google Launches Gemini 3.5 Flash Cyber AI to Find and Fix Software Vulnerabilities
Google's DeepMind on Tuesday announced the release of Gemini 3.5 Flash Cyber, a specialized artificial intelligence (AI) model built atop 3.5 Flash that's designed to discover, validate, and patch vulnerabilities quickly and efficiently. According to the tech giant, the model will be exclusively available to governments and trusted partners via CodeMender as part of a limited-access pilot
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ExternalSoftware Engineering
GitHub Changelog
Gemini 3.6 Flash is now available in GitHub Copilot
Gemini 3.6 Flash, Google’s latest Flash model, is now rolling out in GitHub Copilot. It is designed for web and app development, coding, and longer-horizon agentic tasks. It has configurable… The post Gemini 3.6 Flash is now available in GitHub Copilot appeared first on The GitHub Blog.
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ExternalAI
NVIDIA Technical Blog
Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI
What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale.... What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale. These factories are now tasked with powering agentic workflows that reason, plan, use tools, verify intermediate results, and execute complex multistep tasks across vast context
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ExternalAI
NVIDIA Technical Blog
NVIDIA Vera CPU: Olympus Cores Built for Maximum Single-Thread Performance in Agentic AI
Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context, interact with... Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context, interact with databases, and analyze results before returning information to the model. As these loops run concurrently across an AI factory, CPU performance increasingly shapes both per-agent
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ExternalAI
NVIDIA Technical Blog
Setting a World Record for MoE Pre-Training on NVIDIA GB300 NVL72
Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per token... Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per token falls, communication increasingly determines how efficiently models scale across thousands of GPUs. NVIDIA GB300 NVL72 set a world record for pre-training DeepSeek-V3 671B at
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ExternalCloud
Google Cloud Blog
Now in preview: Find and fix software vulnerabilities with CodeMender
As adversarial AI threats accelerate attacks on code, security teams must counter them with machine-speed defenses that can automate code remediation and fight AI with AI. CodeMender is our managed code security agent, and starting today, we're bringing its code scanning and remediation capabilities directly to you in preview. CodeMender offers access to our generally available models via Gemini Enterprise Agent Platform, or it can be deployed as a core component of AI Threat Defense. CodeMende
AI & Machine LearningSecurity & Identity
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ExternalSoftware Engineering
DZone
Spec-Driven Development Renamed an Old Problem; It Didn't Solve It
Spec Kit, OpenSpec, BMAD, Kiro — all of it is built on the assumption that a spec can stay the source of truth. It can't, for the same reason design docs and wikis never stayed current either. I think the interesting unsolved problem in this space isn't "more rigorous specs," it's "specs that don't require a human to remember to update them." Curious if people running these in production agree. The Pitch Everyone's Making Right Now Spec-driven development has become the default answer to "AI age
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