Find your people. Build your future. DEVSA bridges the gap between passionate builders, local partners, and the growing tech ecosystem in San Antoniodevsa.community San Antonio, TX, USAJoined February 2024
Today, we are announcing a series of updates that give customers frontier-grade security at half the cost.
MAI-Cyber-1-Flash is our first cybersecurity model, built ground up to find the most challenging vulnerabilities in complex code bases. When combined with MDASH, it delivers world-class performance at 50 percent of the cost of leading models.
We are bringing this capability to market through Project Perception, a complete agentic security offering grounded in real-world signals and security workflows. Teams of specialized agents work together to simulate attacks, detect and triage/investigate, and fix and remediate.
This is the benefit of building the harness, context/signals, and action space separate from one model family. By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome.
Extremely excited to announce that I'm (finally) joining the @laravel team!
Today is my first day as the VP of Marketing and Community. I love this community and I couldn't be more excited to join the team.
This is the era of builders, and Laravel is the best way to build.
Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available from @GoogleDeepMind@demishassabis . Onwards!
For my first post, I’m sharing a letter @nvidia signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
Eve.dev is more fundamental than any other framework we’ve built.
It’s the genesis of your company. When you have a new idea, don’t think: “I’ll go to an agent and ad-hoc prompt.”
Think: how can I build the factory that will start, maintain and grow my idea
The (software) factory is the product. Your product is only as good as the agents you set up to autonomously maintain it.
This is what @elonmusk figured out about Tesla, and it's now true for the software world.
We removed ~80% of the Claude Code system prompt for our newest models, this is what we've learned about writing system prompts, skills and Claude.MDs for them. x.com/i/article/2080…
57 years ago today, humans first landed on the Moon. The source code that helped get them there? It’s on GitHub.
Margaret Hamilton led the MIT team responsible for Apollo’s onboard flight software. The Apollo Guidance Computer software eventually grew to about 145,000 lines of code. 👀
Explore the original Apollo 11 guidance software for the Command and Lunar Modules. 🌕
github.com/chrislgarry/ap…
Image credit: Draper Laboratory; restoration by Adam Cuerden, via Wikimedia Commons.
Next San Antonio/Austin DNUG is in 10 days! Learn to build your infrastructure in C# with Pulumi! #dotnet#azure
🎤What: Serverless Dad Jokes: What If Everything Was Just C#?
👨🏫Who: @adamgordonbell
⌚When: July 30 @ Noon CST
🌐Where: Zoom
Signup: meetup.com/sadnug/events/…
The big lesson from AI is that everything is code. A slide deck is code. Design is code. That cool promo video? Code. Excel automation? Code. The universe? Probably made of code too.
The term "AGI" has aged very poorly. AI can't possibly me more different from human intelligence. It's *far better* than human intelligence, for most economically-relevant tasks.
But that doesn't make AIs better than humanity. There are wonderful things humans can do that these superintelligences (the better term) can't.
For one, we care-for and care-about other humans in a powerful and inherent way, that we then teach machines to emulate. We must keep that as the top priority in everything we do. We have to be as pro-human-life as it gets.
AIs can replace tasks you do, but they can't replace the proverbial you. This is why they horribly suck at writing! Even when given a corpus of your writing and 200 Skills and 50 subagents running in gRaPh LoOps, they produce robotic prose… because they are robots.
I know one definitive way that people can become irrelevant. They stop being themselves: lose their identity, delegate all their writing, their unique thoughts, the creative ways in which they can use the machines. Opting out of 'weighing in'.
I think we're safe though. There's nothing more distasteful right now than AI replies in social media or (🟢 T H I S T H I N G ) in landing pages. Quality and humanity will prevail.
React Aria is now available in shadcn/ui.
Use `--base aria` or choose React Aria in shadcn/create.
All components, docs, CLI, styles and skills have been updated for React Aria Components.
Shoutout to @devongovett who did most of the work behind this release.
Kimi K3 is the best performing model on nextjs.org/evals, ahead of Fable, reaching a comparable success rate in less time.
This is the first time that an open model is ahead of all proprietary ones for this comprehensive web engineering benchmark.
Notes:
▪️ Benchmarks don’t always tell the full story, although this is important signal, adding to mounting evidence that this could be a breakthrough moment for open models
▪️ No model as of yet has reached 100% completion on this set of evals. The top performer peaks at 92% and 96% “with help”
The case for your own public agent, on your .com.
0️⃣ First, the anti-case. If you haven't shipped high quality APIs for agents, start there. OpenAPI specs, SDKs, CLIs and MCPs as appropriate.
1️⃣ Convenience. Not every customer has a harness 'at the ready' for every possible interaction with your product and company. Shipping one on your own domain covers a lot of spontaneous requirements.
2️⃣ Security. When you go to 𝚟𝚎𝚛𝚌𝚎𝚕.𝚌𝚘𝚖 and talk to Agent, we put in the work to cover audit trails, a least-privilege permission model, and extra assurances to ensure security, privacy and data integrity. It's fully cloud-based and sandboxed, vs. a sprawl of static credentials on users' machines.
3️⃣ Proactivity. We're still in the "human enters prompt" phase of AI. Our cloud-based agent can act on anomaly alerts triggered by exceptions, attacks, usage spikes. Our agent needs to monitor your infra while you sleep. You can, of course, set up workflows and schedules with your own harnesses, but it gets much harder.
I think it's ultimately a sequencing thing. I agree with Mitchell that the priority is to give users choice and flexibility. We give people vercel.com/plugin to integrate with every agent out there. Our CLI and MCP are constantly improving. Our own Agent re-uses the same skills.sh everyone gets. All our sites are Markdown-over-the-wire if you're an agent.
Based on the data and anecdata available to me, this strategy is working quite well, but YMMV.
Using a generic agent harness (e.g. Codex, Claude, OpenCode) + CLI/MCP is better than "Ask me anything" built-in product chat boxes in every product I've ever tried. A big reason is I can use the latest frontier models, another is mixing more context. Why your box over mine?
Make the model a cog in a machine you own.
◾ AI SDK → open model API
◾ Eve.dev → open Agent API
◾ AI Gateway → open ZDR inference
Startups and enterprises must own their data, evals, model choices, software layer. Don't outsource your brain.
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2005: @HelpSpot
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2026: @Outrocrew
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