Cédric Schaller

Software Engineer with a primary focus on Java, Spring and agile methods. Also passionate about Machine learning, TypeScript and React/Angular.

[Nainsi Dwivedi @NainsiDwiv50980]

The Head of Claude Code at Anthropic said he hasn’t written code by hand in months.

In 2 days he shipped 49 full features. All written 100% by AI.

He just dropped a 30 min talk on exactly how he does it.

Worth more than any $500 vibe coding course. Bookmark it:

[Andrej Karpathy @karpathy]

This is the the quote I've been citing a lot recently.

[Andrej Karpathy @karpathy]

Judging by my tl there is a growing gap in understanding of AI capability.

The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.

But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.

So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.

TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

[Eric S. Raymond @esrtweet]

If you are a software engineer "experiencing some degree of mental health crisis", now hear this, because I've been coding for 50 years since the days of punched cards and I have a salutary kick in your ass to deliver.

Get over yourself. Every previous "programming is obsolete" panic has been a bust, and this one's going to be too.

The fundamental problem of mismatch between the intentions in human minds and the specifications that a computer can interpret hasn't gone away just because now you can do a lot of your programming in natural language to an LLM.

Systems are still complicated. This shit is still difficult. The need for people who specialize in bridging that gap isn't going to go away.

As usual, the answer is: upskill yourself and adapt. If a crusty old fart like me can do it, you can too.

[Shruti Codes @Shruti_0810]

Dear Future AI Engineer,

If you want to break into AI in 2025, stop chasing trends. Start mastering the fundamentals.

I’m giving away 2 must-read O’Reilly books 📚 that every AI Engineer swears by — from Deep Learning to NLP with Transformers.

These books will change your entire AI foundation 👇
• Fundamentals of Deep Learning
• Natural Language Processing with Transformers

Ready to level up? Here’s how ⬇️
1️⃣ Follow me (so I can DM you)
2️⃣ Like & Repost
3️⃣ Comment “AI”

💡 Knowledge builds empires. Start building yours today.

[Josh Long @starbuxman]

@SpringBoot 4 is here!

https://t.co/FabFtr4QEX

[Martin Hock @mnhocktweets]

This is a nice feature in Spring Boot! 🚀

[Anton Arhipov @antonarhipov]

One of the tools that I really like and use for writing code is postfix completion in #IntelliJ. It is not very popular, but once you start using it, you can't live without it.

[Aadit Sheth @aaditsh]

A senior Google engineer just dropped a 424-page doc called Agentic Design Patterns.

Every chapter is code-backed and covers the frontier of AI systems:

→ Prompt chaining, routing, memory
→ MCP & multi-agent coordination
→ Guardrails, reasoning, planning

This isn’t a blog post. It’s a curriculum. And it’s free.

[SpringOne @SpringOne]

Kafka chaos got you down? @sobychacko is here to save the day with Spring for Apache Kafka 4.0 at #SpringOne at #VMwareExplore 2025! Get ready for KRaft, Kafka Queue, and super streamlined dev. Your apps (and sanity) will thank you! https://t.co/NT1km22aLt

[Abhishek @HeyAbhishek]

🚨OpenAI just launched free AI courses for everyone.

Whether you're a student, professional, or educator, there's something for you.

Here’s what you can learn: 👇

[Kai Wähner @KaiWaehner]

At the last #KafkaSummit, Uber shared its #ApacheKafka scale:

🚀 12 trillion messages per day
📦 7.7 petabytes of data per day
🔁 1000+ consumer services

A real-world proof of how far #DataStreaming can scale.

Kappa architecture. Real-time core. Any workload.

#Microservices

[Gunter Rotsaert @mydevlprplanet]

A nice set of guidelines for developing Restful APIs. Provided by Zalando.

https://t.co/dxyyvJh49c

[Cédric Schaller @CedSoftEng]

Excited about #Kafka 4.0? Then join us at this Kafka Meetup on Nov 14 in Gland (CH)! @davidjacot will introduce Kafka's latest features. Then I will share the details of an event-driven architecture used for 24/7 availability. See you there!

https://t.co/EJm6JRcPbT

[Philip Riecks @rieckpil]

👨‍💻 Spring developers!

Confused about integration tests with AtSpringBootTest? Fear not!

Our guide 📖 walks you through the annotation magic and testing nuances to get you testing like a pro!

Check it out: https://t.co/E4WEOPEflr

#SpringBootTest #DevCommunity

[Cédric Schaller @CedSoftEng]

It appears that over 200 people participated in my session on Error handling with Kafka at the London #KafkaSummit 2024. Wow! It was such a pleasure to engage with the community!

If interested, go to https://t.co/edYb9n1Yer for the code and the presentation.

[Cédric Schaller @CedSoftEng]

#IntelliJ trick of the day: I have always looked for a quick way to list all the REST resources in a Spring Boot application. This is one way to do it with IntelliJ:

[Cédric Schaller @CedSoftEng]

Finally I found the time to write an article on how to get time zones right with Java. It is a problem I have encountered many times in my career and writing this article was a good opportunity to get to the bottom of it! https://t.co/9UIsaiDNHr

[Cédric Schaller @CedSoftEng]

Excellent explanation on the differences between #Debezium and the JDBC connector for CDC, and why Debezium's architecture provides better scaling https://t.co/mOLmQd2JmV

[Stéphane Nicoll @snicoll]

Releases follow-up (almost missed this one): another round of maintenance releases late March with @springboot 2.5.11 and 2.6.5. A third milestone for Spring Boot 2.7 with GraphQL refinements.

Spring Framework also ships a third milestone of 6.0 next week!