Ari.

Solutions Architect at @FreshWorksInc • Delivering with #AI • human-generated bio (I hope this is the last statement I have to generate myself).

[Ari. @arianfront]

Claude Code just dropped Opus 4.8 with Dynamic Workflows, higher performance scores, bigger tasks management and much much more #ClaudeCode #DynamicWorkflows https://t.co/KxcXW8fEKP

[Ari. @arianfront]

If you, like me, struggled to get the expected outcome when generating video content by prompting. #GoogleOmni brings, not just the, IMHO, maybe the best video model, but also a prompting masterclass under the hood. Enjoy! #google #AI https://t.co/SuNpbSHvm0

[Ari. @arianfront]

Figma presents 🥁

Figma Design Agent!

- Generate design variations
- Promote design updates
- Code/Design parity

https://t.co/3DgN6578nF

[Ari. @arianfront]

Google updates its Gemini app to take on ChatGPT and Claude at IO 2026 https://t.co/GySChmCLc3 via @techcrunch

[Ari. @arianfront]

Claude Code Just Dropped /Goal. (Master it in 8 Minutes). https://t.co/XFPBYxiwD1 via @YouTube

[Nav Toor @heynavtoor]

Here are 10 GitHub repos that quietly print money while you sleep.

1. Cal. com
Open-source Calendly. Fork it, white-label it, sell to dentists and lawyers for $200/month. The founders hit $5M ARR in 3 years doing exactly this.
Repo → https://t.co/haz8ihRsHm

2. Plausible Analytics
Privacy-first Google Analytics. Self-host it, resell to agencies for $50/month per client. Two founders bootstrapped this to 7 figures.
Repo → https://t.co/RFrcpqTBQ7

3. Ghost
Open-source Substack with 100% margin. 1,000 readers at $5/month equals $60,000 a year. Forever.
Repo → https://t.co/Z1MdZ5Zapg

4. n8n
Open-source Zapier. Sell automation services for $500-$2,000 per setup. n8n raised $14M because the agency model behind it works.
Repo → https://t.co/hdycABGGc1

5. Supabase
Free Firebase replacement. Build a SaaS in a weekend, charge $29-$99/month. They raised $116M for a reason.
Repo → https://t.co/dFB2QvafA7

6. Medusa
Open-source Shopify. Take 5% on every sale forever. Zero rev share to Shopify.
Repo → https://t.co/uEuCK6zuZO

7. AppFlowy
Open-source Notion. Sell self-hosted to enterprises worried about data privacy. They raised $30M because this market is massive.
Repo → https://t.co/IDMykTCkMU

8. Coolify
Open-source Vercel and Heroku. Charge developers $20/month to manage their deployments. Replace their $200 Vercel bill.
Repo → https://t.co/N5Fk22qraT

9. Listmonk
Open-source Mailchimp. Send unlimited emails for the cost of an AWS bill. Resell to agencies at 10x markup.
Repo → https://t.co/NS6Uukcklw

10. Penpot
Open-source Figma. Sell self-hosted design tools to agencies who refuse to upload client files to the cloud.
Repo → https://t.co/Lx1CYUP4p4

The difference between developers who build features and developers who build businesses is one decision.

Pick one of these. Fork it this weekend. Ship it next week.

The founders behind these repos already proved the model.

Save this. Share it with the developer in your life who deserves to break free.

100% free. 100% open source.

[Ari. @arianfront]

Why this beats just stuffing everything into the context. At scale: A company with 500 policy documents can't fit them all in one API call.

More context = + tokens = higher cost per query
More context also makes Claude less precise (it has to "find" the answer in a sea of text.

[Ari. @arianfront]

Models know everything in its training data, but it doesn't know your company's internal policies, their product catalog, contracts, knowledge base, etc.

Every organization has this problem: they want AI that can answer questions about their stuff, accurately, no hallucinating

[Ari. @arianfront]

The result: Claude gives accurate, grounded answers about your documents — and if the answer isn't there, it says so instead of making something up.

[Ari. @arianfront]

LLM Application Development With Python
https://t.co/AxbrvxIr1y

[Ari. @arianfront]

10 Python Libraries Every LLM Engineer Should Know
https://t.co/zY0XmavjHm

[Alok Kumar @Alokkumarzz]

Instead of watching an hour movie, watch this. In 14 minutes, an Anthropic engineer who wrote Building Effective Agents will teach you more about building agents right than most developers figure out on their own in months.

[Mario Nawfal @MarioNawfal]

Will Smith eating pasta is now the official benchmark for AI progress.

This is actually insane.

[Ari. @arianfront]

How to Become an AI Engineer in 2026 #AI #AIEngineer
(A Complete Roadmap) https://t.co/rneDAPTklM

[Mnimiy @Mnilax]

https://t.co/4fy9RlQSGy

[Ari. @arianfront]

Building effective agents, by @AnthropicAI

https://t.co/85NVZqwwMR

[Ari. @arianfront]

1. Vector Embeddings: The Hidden Engine Behind AI Search

https://t.co/PMU7U8BLiL