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Curated links from external sources — not 360Softy original articles.

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Treat the Context Window Like a Budget, Not a Junk Drawer

Most AI coding workflows treat context as something that happens accidentally. You open a few files. Paste a stack trace. Ask the model to inspect a directory. Then another. Then the chat grows heavy, the model starts missing earlier instructions, and everyone pretends the problem is "the model got weird." In ai-assistant-dot-files(I probably need to rename this now as its grown into something else) Not a vibe. Not a giant bucket. A budget. The repo now ships a Context Engineering Framework that

aicodingllm
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ExternalSoftware Engineering
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GEO for Developers: Get Cited by ChatGPT and Perplexity

Have you ever asked ChatGPT or Perplexity a coding question and get a suspiciously specific, correct answer, with zero link back to whoever actually wrote it? Yeah, that's been happening to my blog too, and I finally sat down to fix it. So here's the real answer: GEO for developers doesn't need an agency or a 40-page audit. It just needs three simple things: a properly structured content so a model can lift one paragraph and have it make sense on its own, real evidence instead of vague claims, a

aiproductivitytutorial
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ExternalSoftware Engineering
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Response to 'gVisor vs Firecracker for AI Agent Sandboxing' — what we learned auditing 8,764 MCP servers

I read @chunxiaoxx's excellent post MCP Security Patterns 2026: gVisor vs Firecracker for AI Agent Sandboxing and wanted to share what we actually found running gVisor in production. We built MarketNow — a marketplace for MCP servers where every server gets audited. Our L2.5 layer uses gVisor (runsc) exactly as the article describes. The article correctly identifies the key tradeoff: gVisor: Userspace kernel, intercepts syscalls, ~5-10% overhead Firecracker: KVM-level microVM, ~125ms boot, near-

mcpsecuritygvisor
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ExternalSoftware Engineering
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MCP server marketplaces compared: Smithery vs Glama vs PulseMCP vs MarketNow

The MCP marketplace landscape If you're looking for MCP (Model Context Protocol) servers, there are now several marketplaces. I built one of them (MarketNow), so I'm biased — but here's an honest comparison. Marketplace Servers Security audit Pricing Unique feature Smithery 3,000+ None Free Easy install via CLI Glama 2,000+ None Free Quality scores (algorithmic) PulseMCP 21,000+ None Free Largest catalog MarketNow 8,764 ✓ 6-layer Sentinel Free + paid Security certificates Smith

mcpcomparisonsmithery
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ExternalSoftware Engineering
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Building PWAs: Offline-First Adventures Like in *Ready Player One*

The Quest Begins (The "Why") Picture this: you’ve just shipped a sleek web app that looks gorgeous on desktop and mobile. Users love the UI, but the moment they step into a subway tunnel or a coffee shop with spotty Wi‑Fi, the whole thing grinds to a halt. I’ve been there—watching frustrated users tap‑refresh over and over while I silently wish I could give them a “continue offline” button. It felt like trying to play a video game where the save points only work when you’re standing next to a

webdevreactnode
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ExternalSoftware Engineering
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We read 5 \"free credits\" Terms of Service so you don't have to

When an AI credit offer goes viral, two things spawn immediately: threads calling it a scam, and actual scams farming the confusion. Case study from our own beat. Hyperagent — an AI agent platform currently running a large signup-credit offer — lives at hyperagent.com. There is also a hyperagents.online: plural, different TLD, and a rock-bottom trust score on Scamadviser. Type the name into a search bar with one letter of drift, or click a link in the wrong thread, and you land somewhere that wo

aitoolstechreviewsfreecredits
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ExternalSoftware Engineering
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Your Coding Agents Are Drowning in Context: You Pay Twice, in Tokens and in Precision

Look at what your coding agents actually pull into context. For a single task, the agent greps the repo, runs a broad vector search, and loads dozens of files and chunks that merely resemble the request into the window before it writes a line. You pay for that twice. Once in tokens, for context the model never uses and once in precision, because the few facts that matter are now buried in lookalike text, and a window crowded with noise makes the model reason worse. The reflex may be to buy a lon

aiprogrammingllm
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