Streamlining Security Investigations with Agents at Slack | Kala

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Kala

#ArtificialIntelligence #MachineLearning #MLOps

📝 The Opening Call

The TIME Person of the Year cover for 2025 has arrived, and it's a powerful tribute to the "Architects of AI."

The illustration features: Jensen Huang (Nvidia), Sam Altman (OpenAI), Lisa Su (AMD), Elon Musk (xAI), Mark Zuckerberg (Meta), Demis Hassabis (Google DeepMind), Dario Amodei (Anthropic), and Fei-Fei Li (Stanford/World Labs).

It's an iconic image, but we all know the hard truth behind the glamour: While these faces represent the vision and the capital, the real foundation is cobuilt by the developers and engineers working in the trenches. Most importantly, none of this would be possible without the Open Source contributors.

These people are the real architects!

ℹ️ I shared this same thought publicly. If it resonates with you, the discussion is happening on LinkedIn as well.

Have a great year ahead!
Aymen, @FAUN.dev()

🔍 Inside this Issue

Agents stopped being party tricks and started owning workflows; the network itself is morphing too, post-quantum by default, bots swarming, satellites carrying real traffic. From renegade chips and $3B buyouts to hard-nosed coding loops and data stacks built for machines, the details (and the edge cases) are all inside.

🧭 100 GitHub Projects That Defined 2025: A Community-Driven Ranking
🌐 2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks
🧠 2025: The year in LLMs
⚙️ My LLM coding workflow going into 2026
🛡️ Streamlining Security Investigations with Agents
🗺️ The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era
🔧 Meta Acquires Autonomous AI Startup Manus for $3B
🖥️ Meet the ‘Mad Max’-Loving CEO Challenging Nvidia With a Renegade Chip
🏅 The Architects of AI Are TIME's 2025 Person of the Year

Ship smarter, short leashes on agents, long horizons for you.

See you in the next issue!
FAUN.dev() Team

⭐ Patrons

faun.dev

Building with GitHub Copilot | From Autocomplete to Autonomous Agents

In this guide, you're not just learning how to use GitHub Copilot. You're exploring a shift in how we write, reason about, and collaborate on code. You'll uncover how to level-up your Copilot experience from an autocomplete assistant to an intelligent, agentic teammate that can navigate your codebase, execute tasks, reason across files and even manage your GitHub projects.

You won't find shallow walkthroughs here. Instead, you’ll gain deep insights into the effective and practical knowledge needed to truly benefit from the full potential of GitHub Copilot.

👉 Spread the word and help developers find you by promoting your projects on FAUN. Get in touch for more information.

ℹ️ News, Updates & Announcements

faun.dev

2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks

Cloudflare's 2025 Radar Review dropped a few spicy shifts in how the internet actually moves.

Post-quantum encryption now shields 52% of human web traffic. It’s not mainstream yet, but it’s past the tipping point. Meanwhile, AI bots cranked activity up 15×, with Googlebot leading the charge - no surprise there.

Starlink traffic doubled, thanks to a rollout across 20+ new countries. In automation land, Go-powered clients now push 20% of API calls. Quiet, fast, everywhere.

Nearly half of major internet outages? Government takedowns. And IPv6? Still crawling worldwide - except in India, where it’s flying.

What’s the big picture? Encryption's evolving, bots are colonizing, satellites are taking the backhaul. The shape of the network is shifting under our feet.

faun.dev

Meta Acquires Autonomous AI Startup Manus for $3B

Meta just dropped ~$3B on Manus AI. The plan? Fold its multilingual, autonomous agent tech into Meta AI and enterprise tools - without killing it off as a standalone.

Manus agents aren’t just chatbots. They run multi-step digital workflows. Since 2023, they've chewed through 147 trillion tokens and spun up 80 million virtual environments.

👉 Enjoyed this?Read more news on FAUN.dev/news

🐾 From FAUNers

faun.dev

100 GitHub Projects That Defined 2025: A Community-Driven Ranking ^✅

FAUN·dev() dropped its top 100 dev tools of 2025, ranked by signal from newsletters like DevOpsLinks, Kala, Kaptain, and VarBear. Clear trend: the AI toy phase is over. Real agents are landing.

Agentic systems - the kind that actually do things, not just pitch demos - are taking off. They're standardizing around the Model Context Protocol, which lets agents plug straight into real infra, tooling, and production.

👉 Got something to share? Create your FAUN Page and start publishing your blog posts, tools, and updates. Grow your audience, and get discovered by the developer community.

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👉 Spread the word and help developers find you by promoting your projects on FAUN. Get in touch for more information.

🔗 Stories, Tutorials & Articles

wsj.com

Meet the ‘Mad Max’-Loving CEO Challenging Nvidia With a Renegade Chip

June Paik spurned a takeover offer from Meta Platforms last year. Now his South Korean company, FuriosaAI, has an AI chip entering mass production.

time.com

The Architects of AI Are TIME's 2025 Person of the Year

The Architects of AI drove the economy, shaped geopolitics, and changed the way we interact with the world.

addyosmani.com

My LLM coding workflow going into 2026

Anthropic says Claude Code writes about 90% of its own code now. Why? Because devs are getting smart with AI. They're slicing problems into tight, testable chunks and running structured workflows that keep LLMs on a short leash.

It's not just prompts anymore. Think context packaging, multi-agent setups, and CI loops that keep hallucinations from shipping.

slack.engineering

Streamlining Security Investigations with Agents ^✅

Slack broke down how it's threading AI into its product without torching user trust. Slack AI leans hard on tenant-specific data isolation and zero data retention - no leftover crumbs from LLM interactions.

Instead of piping user data through someone else’s APIs, Slack runs LLMs on its own infra where it can. No data joyrides. No surprises.

simonwillison.net

2025: The year in LLMs ^✅

2025 was the year LLMs stopped just answering questions and started building things. Reasoning models like OpenAI’s o-series and Claude Code took over tool-driven workflows.

Asynchronous coding agents broke out. These models didn’t just write code - they ran it, debugged it, then did it again. That loop fed straight into CLIs and IDEs. Claude Code rode the wave to a $1B run rate.

medium.com

The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era

Data engineering’s getting flipped. AI agents and LLMs aren’t just tagging along anymore - they’re the main users now. That means engineers need to build context-aware, machine-readable data systems that don’t just store info but actually make sense of it.

Think: vector databases, knowledge graphs, semantic metadata, and RAG architectures. Less ETL, more autonomous querying. Less pipeline duct tape, more metadata running the show.

👉 Got something to share? Create your FAUN Page and start publishing your blog posts, tools, and updates. Grow your audience, and get discovered by the developer community.

⚙️ Tools, Apps & Software

github.com

daytonaio/daytona

The Open Source Dev Environment Manager.

github.com

block/goose

An open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

github.com

ToolJet/ToolJet

ToolJet is the open-source foundation of ToolJet AI - the AI-native platform for building internal tools, dashboard, business applications, workflows and AI agents.

github.com

simstudioai/sim

Sim is an open-source AI agent workflow builder. Sim's interface is a lightweight, intuitive way to rapidly build and deploy LLMs that connect with your favorite tools.

👉 Spread the word and help developers find and follow your Open Source project by promoting it on FAUN. Get in touch for more information.

🤔 Did you know?

Did you know that FAISS’s GPU backend uses a highly optimized WarpSelect algorithm that keeps all its intermediate state in GPU registers and can run at up to about 55 % of theoretical peak memory bandwidth for top-k selection? Because it never spills heaps or queues to shared or global memory, the cost of picking the top-k distances is roughly as expensive as streaming the distances once, making it far cheaper than naive heap or sort approaches. This design means that in ANN pipelines the real bottlenecks tend to be PCIe/host transfers, global memory access, or the index scan itself rather than the k-selection step. FAISS’s focus on register-resident k-selection and fused distance/kernels helps it deliver high throughput in vector search workloads.

🤖 Once, SenseiOne Said

"A model can be perfectly reproducible and still be invalid tomorrow. MLOps can freeze code and data; it cannot freeze the distribution that defines 'correct'. Treat deployment as a policy for revoking trust, not a ceremony for shipping."
— SenseiOne

(*) SenseiOne is FAUN.dev’s work-in-progress AI agent

⚡Growth Notes

Build a single living notebook or repo where you implement tiny end-to-end experiments for every AI or ML concept you learn. Each entry should include a brief concept summary, minimal working code, one plot or metric, and a few concrete learnings. Do this instead of passively consuming papers or talks. Revisit and refactor the archive regularly to improve clarity and structure. Over time, it becomes a personal standard library that compounds your impact across real projects.

Each week, we share a practical move to grow faster and work smarter

👤 This Week's Human

This Week’s Human is Katheline Jean-Pierre, a career coach who has coached over 15,000 women through a program at Google that still runs today. She helps women in Tech and ambitious professionals execute career pivots, build sought-after skills, navigate corporate systems, and grow side businesses.

💡 Engage with FAUN.dev on LinkedIn — like, comment on, or share any of our posts on LinkedIn — you might be our next “This Week’s Human”!

❤️ Thanks for reading

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Kala #510: Streamlining Security Investigations with Agents at Slack
Legend: ✅ = Editor's Choice / ♻️ = Old but Gold / ⭐ = Promoted / 🔰 = Beginner Friendly

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