Formerly called 'Code to 35'. Add our main WeChat ID to access a wealth of shared resources (algorithms, interview prep, tech stacks: Java, Python, Go, big data). We mainly share serious development techniques, focusing on output-driven input. Occasionally we post life snippets and gossip. Our aim is to attract precise traffic and test advertising opportunities.
The article argues that microservices are often over‑hyped, add significant complexity and operational cost, and contribute little to a company's success, making them unsuitable for most small‑team or low‑traffic projects while suggesting a modest 80% monolith‑20% microservice split for rare high‑reuse cases.
The article argues that after age 35 developers should focus on core skills such as problem modeling, system observability, and code evolvability because technology churn outpaces personal learning, AI handles tool usage, and companies value stability over novelty.
The author reflects on abandoning a pure‑tech mindset after age 35, showing how combining technical skill with business insight, communication, and an understanding of human nature creates real career value beyond code alone.
The article reveals that statements like “we value you and want to develop you” often mask exploitation, outlines three clear signals of being used, distinguishes genuine development from pseudo‑development, and offers concrete steps to protect your career.
Programmers earning 200‑300 K RMB annually seem well‑off, yet high living costs, debt and limited advancement leave them financially vulnerable, stuck between big‑firm expectations and small‑company limitations, and unable to take career or life risks.
A 34‑year‑old developer wonders whether staying on the front‑line and avoiding a move to management is a sign of failure, but the article argues that continuing to code at 35 can be a deliberate, smarter career path offering deeper technical impact and greater freedom.
The article argues that while AI tools like Copilot can generate CRUD code, answer Stack Overflow queries, draw architecture diagrams, and run tests, programmers remain indispensable by translating vague requirements, making trade‑off decisions, collaborating across functions, designing evolvable systems, and cultivating T‑shaped expertise.
Clawdbot is an open‑source, local‑first AI agent gateway that turns your computer into a 24‑hour digital employee, offering private, executable AI actions via messaging apps, with a “message ⇄ gateway ⇄ model” architecture, extensive plugins, and a step‑by‑step deployment guide that has sparked enthusiasm from industry leaders.
A tragic colleague’s death highlights how tech firms treat developers as expendable assets, prompting a reflective look at burnout, the limited career paths after coding, and the search for meaning beyond endless code commits and relentless group‑chat demands.
The securities sector relies heavily on a handful of specialized fintech firms for core infrastructure such as trading systems, market terminals, quantitative platforms, and risk‑control engines, and this article profiles ten leading companies, detailing their founding dates, employee counts, core domains, and programmer‑focused considerations.
