ContentPosts from @denyskontorskyy..
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@faun shared a link, 1 week, 1 day ago

[Cursor] Bugbot is out of beta

Bugbot hunts bugs in PR diffs, flagging logic slip-ups and strange edge cases. It then detects security gaps, blending top LLMs with custom heuristics. It plugs into the Cursor dashboard and runs dedicated Bugbot rules.Beta stats: 1M+ reviews, 1.5M+ issues found. Half the bugs are fixed before merge..

[Cursor] Bugbot is out of beta
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@faun shared a link, 1 week, 1 day ago

How Anthropic teams use Claude Code

Anthropic teamsfire upClaude Code. They automate data pipelines and squash Kubernetes IP exhaustion. They churn out tests and trace cross-repo context. Non-dev squads use plain-text prompts to script workflows, spin up Figma plugin automations, and mock up UIs from screenshots—zero code. Trend to w..

How Anthropic teams use Claude Code
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@faun shared a link, 1 week, 1 day ago

Microsoft Copilot Rooted to Gain Unauthorized Root Access to its Backend System

April 2025 Copilot Enterprise update slipped in aJupyter sandbox. It snuck in aPATH-poisonable pgrepat root’s entrypoint. Attackers could hijack that forroot execution.Eye Securityflagged the hole in April. By July 25, 2025, Microsoft patched this moderate bug. No data exfiltration reported. Why it..

Microsoft Copilot Rooted to Gain Unauthorized Root Access to its Backend System
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@faun shared a link, 1 week, 1 day ago

Seeing like an LLM

LLMs function as next-token predictors. With scant user context, they hallucinate—spinning fresh backstories. As these models morph into autonomous agents, context engineering—feeding facts, memory, tools, guardrails—halts rogue behavior. Trend to watch:A jump in context engineering. It pins LLMs t..

Seeing like an LLM
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@faun shared a link, 1 week, 1 day ago

The Evolution of AI Job Orchestration: The AI-Native Control Plane & Orchestration that Finally Works for ML

SkyPilot spins an AI-native control plane on Neocloud Kubernetes. It binds GPU pools across clouds into one resilient grid. Teams define ML jobs in a single YAML. SkyPilot drives gang scheduling, SSH/Jupyter access, and multi-cluster compute. It does auto failover and cost-smart scheduling. Infra s..

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@faun shared a link, 1 week, 1 day ago

AI Coding Tools Underperform in Field Study with Experienced Developers

METRran an randomized controlled trial  (RCT) with 16 open-source devs. They tackled real-world code tasks usingClaude 3.5andCursor Pro. The pitch:40%speed boost. Reality:19%slowdown. A deep dive into 246 screen recordings laid bare friction in prompting, vetting suggestions, and merging code. That ..

AI Coding Tools Underperform in Field Study with Experienced Developers
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@faun shared a link, 1 week, 1 day ago

Intel CEO Letter to Employees

Intel scraps itsGermanyandPoland foundries, shifting assembly fromCosta RicatoVietnamandMalaysia. It slows Ohio fab construction while ramping upIntel 18A/18A‑Pand planningIntel 14Aaround key customers. SMT returns. Focus shifts to Panther Lake, Nova Lake, and Granite Rapids.AI strategy pivots towar..

Intel CEO Letter to Employees
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@faun shared a link, 1 week, 1 day ago

The Future of Threat Emulation: Building AI Agents that Hunt Like Cloud Adversaries

AI agents tap MCP servers andStrands Agents. They fire off tools that chart IAM permission chains and sniff out AWS privilege escalations. Enter the “Sum of All Permissions” method. It hijacks EC2 Instance Connect, warps through SSM to swipe data, and leaps roles—long after static scanners nod off. ..

The Future of Threat Emulation: Building AI Agents that Hunt Like Cloud Adversaries
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The vibe coder's career path is doomed

An AI-powered dev workflow combinedClaude,Playwright, and aPostgres-backed REST APIto ship 2–3 features per day. But as complexity grew, multi-agent loops broke down, tests ballooned, and schema drift demanded increasingly precise prompts and manual corrections.The result: more time spent managing c..

The vibe coder's career path is doomed
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The Big LLM Architecture Comparison

Architectures since GPT-2 still ride transformers. They crank memory and performance withRoPE, swapGQAforMLA, sprinkle in sparseMoE, and roll sliding-window attention. Teams shiftRMSNorm. They tweak layer norms withQK-Norm, locking in training stability across modern models. Trend to watch:In 2025,..

The Big LLM Architecture Comparison