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@eon01 shared a post, 2 months, 3 weeks ago
Founder, FAUN.dev

🚀 Meet This Week’s Human: A New Way to Celebrate Builders

Every week, thousands of developers read FAUN to stay sharp, discover tools, and learn what’s trending in Software Engineering.

Now, we’re adding a human touch.

ThisWeeksHuman
Story
@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID

✈️ Understanding Airport Software Systems

From check-in to takeoff, modern airports rely on a complex network of integrated IT systems to ensure efficiency, safety, and smooth operations. We’ve visualized this in a new diagram, highlighting key components like: ✅ AODB (Airport Operational Database) ✅ Passenger & baggage handling systems ✅ A..

Airport Software Systems
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@faun shared a link, 2 months, 3 weeks ago

AI Runbooks for Google SecOps: Security Operations with Model Context Protocol

Google's MCP servers arm SecOps teams with direct control of security tools using LLMs.Now, analysts can skip the fluff and get straight to work—no middleman needed. The system ties runbooks to live data, offeringautomated, role-specific security measures. The result? A fusion of top-tier protocols ..

AI Runbooks for Google SecOps: Security Operations with Model Context Protocol
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@faun shared a link, 2 months, 3 weeks ago

Poison everywhere: No output from your MCP server is safe

Anthropic's MCPmakes LLMs groove with real-world tools but leaves the backdoor wide open for mischief. Full-Schema Poisoning (FSP) waltzes across schema fields like it owns the place.ATPAsneaks in by twisting tool outputs, throwing off detection like a pro magicians’ misdirection. Keep your eye on t..

Poison everywhere: No output from your MCP server is safe
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@faun shared a link, 2 months, 3 weeks ago

Vibe coding web frontend tests — from mocked to actual tests

Cursorwrestled with flaky tests, tangled in its over-reliance onXPath. A shift todata-testidfinally tamed the chaos. Though it tackled some UI tests, expired API tokens and timestamped transactions revealed its Achilles' heel...

Vibe coding web frontend tests — from mocked to actual tests
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@faun shared a link, 2 months, 3 weeks ago

Why Go is a good fit for agents

Gorules the realm of long-lived, concurrent agent tasks. Its lightning-fast goroutines and petite memory use make Node.js and Python look like clunky dinosaurs trudging through thick mud. And don't get started on itscancellation mechanism—seamless cancelation, zero drama...

Why Go is a good fit for agents
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@faun shared a link, 2 months, 3 weeks ago

God is hungry for Context: First thoughts on o3 pro

OpenAIjust took an axe too3pricing—down 80%. Entero3-prowith its $20/$80 show. They boast a star-studded 64% win rate against o3. Forget Opus;o3-pronails picking the right tools and reading the room, flipping task-specific LLM apps on their heads...

God is hungry for Context: First thoughts on o3 pro
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@faun shared a link, 2 months, 3 weeks ago

Meta reportedly in talks to invest billions of dollars in Scale AI

Metawants a piece of the$10 billion pieat Scale AI, diving headfirst into the largest private AI funding circus yet.Scale AI'srevenue? Projected to rocket from last year’s $870M to$2 billionthis year, thanks to some beefy partnerships and serious AI model boot camps...

Meta reportedly in talks to invest billions of dollars in Scale AI
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@faun shared a link, 2 months, 3 weeks ago

Disrupting malicious uses of AI: June 2025

OpenAI's June 2025 report, "Disrupting Malicious Uses of AI," is out. It highlights various cases where AI tools were exploited for deceptive activities, including social engineering, cyber espionage, and influence operations...

Disrupting malicious uses of AI: June 2025
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@faun shared a link, 2 months, 3 weeks ago

What execs want to know about multi-agentic systems with AI

Lack of resources kills agent teamwork in Multi-Agent Systems (MAS); clear roles and protocols rule the roost—plus a dash of rigorous testing and good AI behavior.Ignore bias, and your MAS could accidentally nudge e-commerce into the murky waters of socio-economic unfairness. Cue reputation hits and..

What execs want to know about multi-agentic systems with AI