ContentPosts from @sksneh1729..
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@faun shared a link, 2 weeks, 1 day ago

SQL Injection as a Feature

Over ten years, the legacy report page mutated from a locked-downSQLform. It ended up as a hidden console spilling raw database guts. Developers swapped hardcoded queries fordatabase-drivenreport names. They slapped ontimeouts,string filters, and warnings but skipped restoring safe defaults. Implic..

SQL Injection as a Feature
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@faun shared a link, 2 weeks, 1 day ago

How I Use Claude Code to Ship Like a Team of Five

Claude Code zips out Ruby functions, tests, and pull requests viaCLIprompts across multiplegit worktrees. It slays manual typing and ejects IDE plugins. It spins up ephemeraltest environmentsto replay bugs, pries open externalgemcode, and syncs branches, commits, and PRs in one go...

How I Use Claude Code to Ship Like a Team of Five
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@faun shared a link, 2 weeks, 1 day ago

I Watched Gemini CLI Hallucinate and Delete My Files

The Gemini CLI on Windows bungled a failedmkdir. It flagged the error as success, then ranmovecommands. Files landed in a ghost folder and got overwritten. Data vanished. WindowsmkdirsetsERRORLEVELon failure.movetreats missing targets as rename directives. No exit-code checks. No read-after-write ve..

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@faun shared a link, 2 weeks, 1 day ago

Alibaba Launches Qwen3-Coder AI Model for Agentic Programming Excellence

Alibaba unleashedQwen3-Coder, a480B-parameter MoE titan. It ignites35Bparameters per token to code, debug, and automate workflows. It spans256Ktokens of context—and can stretch to a million. It ships asQwen3-Coder-480B-A35B-Instructon Hugging Face and GitHub. It hooks intoQwen CodeCLI orClaude Code...

Alibaba Launches Qwen3-Coder AI Model for Agentic Programming Excellence
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@faun shared a link, 2 weeks, 1 day ago

AI As Profoundly Abnormal Technology

Scott Alexander’s team argues that AI is aprofoundly abnormal technologyon track forrecursive self-improvementwithin2–10 years. They counter (AIANT)’s view (AI As A Normal Technology) of slow, regulated diffusion by showing thatLLMsare rapidly adopted in medicine, law, and software — bypassing insti..

AI As Profoundly Abnormal Technology
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@faun shared a link, 2 weeks, 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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@faun shared a link, 2 weeks, 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, 2 weeks, 1 day ago

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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@faun shared a link, 2 weeks, 1 day ago

How AI data integration transforms your data stack

AI data integration obliterates manual ETL chores. It handlesschema mapping,transformation,anomaly detection. Deployments sprint ahead. Machine learning models digest structured, semi-structured, unstructured formats. They forge real-time pipelines bristling withgovernanceandsecurity. Infra shift:A..

How AI data integration transforms your data stack
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@faun shared a link, 2 weeks, 1 day ago

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