Marko Denic Tech retweeted
typeui.sh is an amazing design layer for AI coding agents!
1. Design skills
2. UI prompts
3. Works with Claude, Codex & Cursor
Check it out!
Marko Denic Tech retweeted
Co-organizing a builder challenge with @joncphillips: Active Builders x Gradium AI.
Free, open to everyone, teams welcome.
1st place wins a Raspberry Pi, 1M Gradium credits and Active Builders lifetime membership.
Sign up → activebuilders.dev/hackathon…
Marko Denic Tech retweeted
Free eBooks for developers:
1/ The Technical Decision Framework
dailytips.dev/ebook
2/ Modern HTML & CSS
markodenic.tech/modern-html-…
3/ JavaScript design patterns
patterns.dev
4/ Learn to Code and Get a Job
freecodecamp.org/news/learn-…
5/ SQL Handbook
flaviocopes.pages.dev/books/…
Marko Denic Tech retweeted
Every post on my blog now has a Markdown version for AI agents.
Add .md to any post URL and you get clean Markdown. No nav, no scripts, just the content. Fewer tokens, better answers.
markodenic.com/discord-code-…
Full index: markodenic.com/llms.txt
Marko Denic Tech retweeted
Alright, we teamed up with @GradiumAI for a builder challenge / hackathon 🚀
The idea is that you build something real with Gradium. It's free and open to everyone, and you can win some cool prizes.
🥇 First prize is a Raspberry Pi + 1M Gradium credits + lifetime access to @active_builders
🥈🥉 runner-ups get 500k Gradium credits each and lifetime access to @active_builders
The brief drops in a few days, but you should save your spot now 👇
Marko Denic Tech retweeted
We teamed up with @GradiumAI to bring this Hackathon to you.
Details below!
Alright, we teamed up with @GradiumAI for a builder challenge / hackathon 🚀
The idea is that you build something real with Gradium. It's free and open to everyone, and you can win some cool prizes.
🥇 First prize is a Raspberry Pi + 1M Gradium credits + lifetime access to @active_builders
🥈🥉 runner-ups get 500k Gradium credits each and lifetime access to @active_builders
The brief drops in a few days, but you should save your spot now 👇
Marko Denic Tech retweeted
You have to check this out: 404s.design.
Marko Denic Tech retweeted
Your AI feature isn't slow.
It just waits for the last word before showing the first.
Stream it instead:
1. Read response.body
2. Pipe it through TextDecoderStream
3. Append each chunk as it arrives
15 lines. No library. Every modern browser.
Full code: markodenic.tech/stream-ai-an…
Marko Denic Tech retweeted
Most SEO advice is written for marketers. This one's for developers.
7 steps: crawl, index, content, rich results, speed, links, metrics.
Plus what to skip and a free PDF.
markodenic.com/seo-checklist…
Marko Denic Tech retweeted
Small update on markodenic.com: long posts now have a table of contents.
• It's built from the post's headings, so I don't maintain it by hand.
• It only shows on posts with 6+ sections, so short posts stay clean.
• It highlights the section you're reading as you scroll.
• It's a sticky sidebar on desktop and a collapsible box on mobile.
See it in action: markodenic.com/http-status-c…
Marko Denic Tech retweeted
I built 5 free CSS tools for you:
→ Text Shadow Generator
→ Box Shadow Generator
→ CSS Gradient Generator
→ Pulse Animation Generator
→ Border Radius Generator
Live preview. Copy CSS or Tailwind.
No sign-up. No ads.
markodenic.com/tools
Marko Denic Tech retweeted
If you could choose your next cofounder, who would it be?
Mine is @natmiletic!
Marko Denic Tech retweeted
Sometimes I get the impression these big AI companies play chess with their announcements.
Then I realize, some of them don't know how to play chess.
Marko Denic Tech retweeted
AI agents are only as useful as their memory.
Redis just published a benchmark of agent memory systems using LongMemEval, a benchmark with 500 questions across multi-session conversations.
Their Remis + Instruct approach reached 86.5% task-averaged accuracy, the highest result among the production systems they reproduced on a common GPT-4o backbone.
The interesting part?
It combines two different approaches:
↳ Remis keeps raw conversation evidence using hybrid semantic + lexical retrieval.
↳ Instruct extracts structured facts and updates them across sessions.
Together, they cover different failure modes. Redis says the combination matched or beat either approach alone across all six question types in their run.
Cost matters too.
Redis modeled the combined approach at about $0.07 per session, including answer-LLM costs.
They also found that published benchmark results don't always reproduce under the same setup.
A useful benchmark to check out if you're building agents with long-term memory.
→ fandf.co/4hdlNkg
—
Thanks to @Redisinc for sponsoring this post.
🤝 Paid partnership













