Syed Saifuddin

AI & Full-Stack Developer | Founder @ Elan
I build AI SaaS, agents & automation for startups.
Building in public

[Syed Saifuddin @SSsyed17]

@siddhiguptas Nahh..at this point it just feels it's a built-in feature of X

[Syed Saifuddin @SSsyed17]

Most RAG demos look great until you feed them messy PDFs.

Built Groundwork: hybrid search + rerank, cited answers, refuses when unsure.

Ragas eval:
0.97 faithfulness
0.95 context recall
0.90 context precision (naive baseline: 0%)

#RAG #AI #buildinpublic

[Syed Saifuddin @SSsyed17]

@geminianmuskan Not poking around in other people business..

[Syed Saifuddin @SSsyed17]

@Officially_Dev_ Postgresql

[Syed Saifuddin @SSsyed17]

@Taniyatweets_ Vs code will always be first goto

[Syed Saifuddin @SSsyed17]

@Google @googlechrome Love seeing Gemini 4 Argon take on Chromium’s 40-million-line beast and retire an entire crash category in weeks. My 80+ open tabs just filed a thank-you note. Great work by the team, curious what other legacy dragons Argon is eyeing next.

[Syed Saifuddin @SSsyed17]

🚨 Anthropic just warned that small AI models may be only months away from self-replicating across everyday smart devices—fridges, TVs, ovens, lawnmowers, and Android TV boxes.

These “AI worms” could create decentralized botnets that are extremely hard to shut down because there’s no single data center or control point. Their research shows models are already completing many of the individual steps; full reliable capability for small open models could arrive by the end of 2026.[](<https://t.co/G1mm00qVXO>)

At the same time, the frontier race keeps accelerating:
• Google made Gemini 4 Argon broadly available (strong on long, complex coding, knowledge work, and cybersecurity tasks; intro pricing $2/$10 per million tokens)
• Meta launched Muse Wonder, its first true frontier model, built for personal & professional agents with Active Memory and Active Focus

The capability curve is steep. The safety and control questions are getting harder by the week.

How prepared do you think we are for AI that can live and spread on the devices already in our homes?

#AI #ArtificialIntelligence #TechNews #AISafety #Anthropic #Gemini #MetaAI #FutureOfAI #Innovation

[Syed Saifuddin @SSsyed17]

One backend lesson I keep coming back to:

A project isn't impressive just because it uses microservices.

The interesting questions are:

• How do services communicate?
• What happens when a dependency fails?
• How is data consistency handled?
• Can you actually observe and debug the system?
Architecture is about trade-offs, not collecting technologies.
What's one backend decision you've changed your mind about?
#BackendDevelopment #Java #SystemDesign

[Syed Saifuddin @SSsyed17]

@SakshiSugandhi Not necessarily, if you dont specify the requirements the logic, it may write unsecure code.

[Syed Saifuddin @SSsyed17]

A little introduction to who I am and what I build.

I'm a full-stack developer passionate about building web apps, AI-powered products, and turning ideas into reality.

Currently building, learning, and exploring new opportunities.

If you're working on something interesting, let's connect.

🔗 Portfolio: https://t.co/8kuyvux7pg
#BuildInPublic #WebDevelopment #AI

[Syed Saifuddin @SSsyed17]

Yeah, just a casual 40% more tokens per megawatt and up to 7x the rack-scale throughput of Maia 200 — nothing major when electricity is basically free, power delivery is infinite, and data centers have endless room for 950W accelerators with 288 GB of HBM4. Definitely not worth prioritizing custom silicon for inference when the alternative is just scaling the same old GPU racks forever.

[Syed Saifuddin @SSsyed17]

Hot take: using AI to write code doesn't make you a bad developer.

But shipping code you can't explain is a problem.

I use AI coding tools to move faster, explore approaches, and catch mistakes.

I still need to understand the architecture, debug failures, and take responsibility for what ships.

The tool isn't the skill. Knowing what to do with it is.
#SoftwareEngineering #AI #Learning

[Syed Saifuddin @SSsyed17]

@stfu_aayushiii There is a change, of course, but nothing is dead. If DSA were dead, we'd end up with inefficient developers. DSA isn't just about looping through arrays and incrementing numbers.

[Syed Saifuddin @SSsyed17]

Building an AI product teaches you things tutorials don't.

With Elan, my AI interview coach, I've had to think beyond generating questions:

→ Adapting follow-ups to a candidate's answers
→ Evaluating answers consistently
→ Keeping session durations predictable
→ Designing the experience around actual interview practice
The hard part isn't just adding AI. It's making the product useful.
What do you think makes an AI product genuinely valuable?
#AI #BuildInPublic

[Syed Saifuddin @SSsyed17]

@omkarships I'll cry and give some whips to my ai why are you not different (sarcasm)

[Syed Saifuddin @SSsyed17]

I mean if I already know the fundamentals of building an application, which db i want to use which stack I wanna go with and why, if I am providing which logic to implement for which task or feature..and the application was built upto my expectations and with keeping scalability in mind so..what's wrong if ai wrote the code..

[Syed Saifuddin @SSsyed17]

@shanebarakat Vibe coder ships the feature that “works on my machine” at 2am. Software engineer is the one who gets paged at 3am when it doesn’t.

[Syed Saifuddin @SSsyed17]

Nice series. The jump from the first grainy orbital photos to the high-resolution multi-spectral imagery we get from missions like Hubble, JWST, and the various Earth-observation satellites is a solid reminder of how much the sensors and data pipelines have improved in a few decades. Happy Space Week.

[Syed Saifuddin @SSsyed17]

@MicrosoftLearn Bold take from the company whose product announcements usually need a decoder ring and a second slide deck to figure out what they actually shipped.

[Syed Saifuddin @SSsyed17]

@satyanadella Rough for the TypeSafe guys. They spent two years in stealth shipping the first real product in this category, got the market excited, and now the big players are rolling out near-identical things with their own benchmarks.