Backend & Platform Engineering
- Java / Spring Boot / Spring Cloud Alibaba
- Microservice governance, gateway, auth, tracing
- MySQL, Redis, Elasticsearch
- Kafka, RabbitMQ, data pipelines
- Docker, Kubernetes, Rancher, CI/CD
Gleam Lab · About
Hi, I'm Zikang Wu.
Backend Engineering × AI Engineering × Indie Building
I am a practitioner programmer grounded in backend engineering, platform development, microservices architecture, data pipelines, and engineering infrastructure. I am now extending that foundation into AI Engineering, agents, real-time voice modules, indie tools, and automation systems, turning complex problems into runnable, reviewable, long-lived works.
I think of myself as a long-term builder: I write code, build systems, create tools, and keep records of the process. This website is not just a resume page. It is my public technical archive for articles, projects, experiments, and milestone reviews.
What I focus on is not "do I know this technology", but rather:
My core background is Java backend and platform R&D. I work extensively with Spring Boot / Spring Cloud Alibaba stack, with experience in:
In recent years, I've participated in building systems from scratch and done architecture refactoring, performance optimization, and platform evolution from 1 to N. Rather than just writing business APIs, I prefer tackling problems that are "complex, messy, long-chain, and require real-world delivery".
Built the foundation around Spring Boot, MySQL, Redis, API development, and business system delivery.
Went deeper into Spring Cloud, message queues, search, caching, tracing, and complex system decomposition.
Focused on Kubernetes, DevOps, platform engineering, automation tools, and engineering efficiency.
Combining LLMs, Agent / MCP, real-time voice, indie tools, and backend engineering into systems that can run, be maintained, and accumulate over time.
Microservices, API Gateway, Service Governance, Data Pipelines, Caching, Message Queues, System Stability, Performance Optimization, DevOps, Cloud Native
LLM application engineering, agents, Function Calling / MCP, model serving, real-time voice pipelines, evaluation, and observability
Browser-side tools, AI workflows, rule sets, code generators, personal automation, and reusable small product experiments
Original engineering practice, tutorial series, project reviews, AI research, personal growth, and long-term public work systems
This blog is not about churning out content or copying what others have written.
It's more like a long-term experimental field to record real problems and solutions in technical practice, my understanding of backend and AI application delivery, experiences with hardware and automation, as well as thoughts on running, growth, and long-term thinking.
What I aim to achieve with this content:
If you're interested in these topics, there's probably something useful here.
Technology for me is not just a work tool, but a way to understand the world, transform problems, and amplify personal capabilities.
Outside of work, I also continuously record life and thoughts. I love running, technology, and experimenting with new tools. I also like turning scattered experiences into written records. Compared to "hype", I care more about long-term accumulation; compared to "showing off", I care more about real growth.
This site itself is part of my long-term accumulation.
This site records technology, and also growth.
I hope that years from now, what's left here is not just articles, but also the trail of someone continuously moving forward.