DaShaun

24.2K posts

DaShaun banner
DaShaun

DaShaun

@dashaun

Husband, father, volunteer, athlete, continuous learner. Tweets are mine. Spring Developer Advocate @VMwareTanzu #JUICE #LiftAsWeClimb @Testcontainers Champion

KC MO Katılım Mart 2008
4K Takip Edilen5.5K Takipçiler
Sabitlenmiş Tweet
DaShaun
DaShaun@dashaun·
Each new CVE is the dinner bell for bad actors all over the world. If they don't act on it immediately, they might not get dinner.
English
1
2
15
4.6K
DaShaun retweetledi
Bruno Borges
Bruno Borges@brunoborges·
In January, we introduced GitHub Copilot SDKs for devs to bring the same agentic core that powers GitHub Copilot CLI, and embed into any tool and application. Today I'm super proud and excited to announce the Official GitHub Copilot SDK for #Java! 🚢Check it out at github.com/github/copilot… #JavaOne
Bruno Borges tweet media
English
2
21
109
13.2K
Dan Vega
Dan Vega@therealdanvega·
I see you Oracle 👀
Dan Vega tweet media
English
2
0
39
1.5K
DaShaun retweetledi
NAIJA-JUG
NAIJA-JUG@NaijaJug·
Reminder: About Naija Java user group Monthly Session: Building AI That Actually Reasons How do we transition AI from simple responders to sophisticated reasoning systems? The answer is coming on the 28th of March. I'm excited to remind you about our upcoming Naija Java user group (Naija JUG) Monthly Session, where we're moving beyond basic prompt-response cycles to explore the architecture of autonomous, self-hosted AI agents. Session Spotlight: Join us for an exclusive technical deep-dive with DaShaun Carter, Spring Developer Advocate, as he architects a high-performance, private AI stack using Spring AI and Ollama—running entirely on your local machine. Session Title: The Self-Hosted Agent: Architecting Autonomous AI with Spring AI and Ollama What DaShaun Carter Will Unpack: Privacy First: Running sophisticated models locally with zero cloud data leakage Giving Models "Hands": Safe file system navigation and shell command execution using Spring AI Agent Utils Goal-Oriented Action Planning (GOAP): Dynamic reasoning-based agents with Embabel Java at the Core: Leveraging Java's robust type system for complex domain problem-solving Event Details: Date: Saturday, 28th March Time: 8:00 PM – 10:00 PM WAT Venue: Google Meet Register here: [luma.com/yqk9da5h] Connect with Naija JUG: WhatsApp: [lnkd.in/dc2nBBFy] Email: naijajug.community@naijajug.org LinkedIn: [Naija Java User Group](lnkd.in/dkaGWk9D) If you're an architect, developer, or tech enthusiast curious about the intersection of Java and autonomous AI—especially with data privacy at the forefront—this session is unmissable. See you there! 👋 #NaijaJUG #Java #SpringAI #ArtificialIntelligence #Ollama #DevCommunity #NigeriaTech #AutonomousAgents #JetBrains #IntelliJ #UserGroups #JavaUserGroup @dashaun @starbuxman @DThompsonDev @therealdanvega
NAIJA-JUG tweet media
English
0
4
6
225
DaShaun retweetledi
DiscussingFilm
DiscussingFilm@DiscussingFilm·
The full performance of “I Lied To You” from ‘SINNERS’ at the Oscars. See the full winners list: bit.ly/OscarWins26
English
730
46.8K
175.3K
5.3M
DaShaun retweetledi
Mark Gadala-Maria
Mark Gadala-Maria@markgadala·
This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
NewsForce@Newsforce

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce

English
2.2K
24.4K
107.3K
13.9M
DaShaun retweetledi
Harold R. Kuntz
Harold R. Kuntz@HaroldRKuntz3·
What happens when Iowa State makes the Big 12 Semifinals on a Friday night in Kansas City.
Harold R. Kuntz tweet media
English
16
45
989
49.3K
James Ward
James Ward@JamesWard·
Give slop languages and slop frameworks to an AI and you're gonna get slop code. Maybe you're ok with slop. That's ok, lots of great stuff is shipped with slop underneath. But when slop doesn't cut it, pick languages and frameworks that aren't sloppy.
English
5
4
33
2.7K
DaShaun retweetledi
Klaas
Klaas@forgebitz·
so atlassian has never been profitable sounds like a terrible stat for project management software
English
149
177
5.4K
843.9K
DaShaun retweetledi
Dan Vega
Dan Vega@therealdanvega·
🎙️Really excited to chat with my friends over at CF Weekly this afternoon. Join us at 3 PM EDT for a fun discussion! youtube.com/watch?v=FiwF2Y…
YouTube video
YouTube
English
0
3
7
1.3K
DaShaun retweetledi
Josh Long
Josh Long@starbuxman·
what're you building today? Me, I'm working on my talks for @javaone next week! So excited! You gonna be there?
English
5
3
22
3.5K
Kelly Sommers
Kelly Sommers@kellabyte·
Can’t believe I just spent like $57 dollars on that prompt. But it was worth every cent.
English
3
1
27
9.6K
DaShaun retweetledi
💻☕ Richard Fichtner
💻☕ Richard Fichtner@RichardFichtner·
Many people still associate AI development almost automatically with Python. Today at the Informatik Campus in Wiesau, I had the chance to show students that the picture is broader than that. We talked about Java as a career path — its open-source nature, the strength of its ecosystem, and the job stability that comes from working in a technology used across industries worldwide. Java has evolved tremendously in recent years. Yet perceptions in education often lag behind the reality of what the platform can do today — especially when it comes to AI and modern development. It’s always fun to see the moment when students realize how much is already possible with Java in this space. Thank you to the faculty for the invitation and for the opportunity to share some experience with the next generation of developers.
💻☕ Richard Fichtner tweet media
English
0
1
4
195
DaShaun retweetledi
Spring I/O
Spring I/O@spring_io·
The best conversations happen around a table. This year, we'll introduce the Spring Roundtables, small group conversations during the conference to explore topics in depth with other Spring developers. What topic would you like to discuss? 👇
Spring I/O tweet media
English
1
3
12
809
Ivan Morgillo
Ivan Morgillo@hamen·
Switch from Java to Kotlin and a senior colleague will call it a fad. Start using AI tools and someone will say you're not really coding anymore. Drop the Android-only mindset and migrate to Flutter, half your network will question your loyalty to the platform. Speak at a conference and someone will nitpick your slides. This is how it goes. You can't optimize for other people's comfort. Keep shipping, keep learning, keep building what makes you better.
English
7
11
139
7.5K