深度智耀科技 tech stack
深度智耀科技 builds mostly with Java, JavaScript, Node JS, Python. Its stack also includes PostgreSQL, Push Notifications, AWS, Apache Kafka. LLM is named in 3 of the 4 job postings 深度智耀科技 published in the last 12 months (75%). Counted by Alion from the job postings of 深度智耀科技, updated Oct 31, 2026.
What programming languages does 深度智耀科技 use?
Java is named in 25% of job postings at 深度智耀科技, followed by JavaScript (25%), Node JS (25%), Python (25%).
What frameworks and libraries does 深度智耀科技 use?
Push Notifications is named in 50% of job postings at 深度智耀科技, followed by FastAPI (25%), Next.js (25%), React Native (25%).
What databases does 深度智耀科技 use?
PostgreSQL is named in 50% of job postings at 深度智耀科技, followed by MySQL (25%), Redis (25%).
What cloud and platforms does 深度智耀科技 use?
AWS is named in 25% of job postings at 深度智耀科技, followed by Apache Kafka (25%), Azure (25%), GCP (25%).
What developer tools does 深度智耀科技 use?
WebSockets is named in 100% of job postings at 深度智耀科技, followed by MQTT (75%), Docker (50%), Rest API (50%).
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What AI and ML technologies does 深度智耀科技 use?
LLM is named in 75% of job postings at 深度智耀科技.
Which engineering practices does 深度智耀科技 ask for?
RAG is named in 75% of job postings at 深度智耀科技, followed by AI Agents (25%), CI/CD (25%).
How does your stack fit 深度智耀科技?
How modern is the 深度智耀科技 stack?
深度智耀科技 scores 84 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
Companies with a stack like 深度智耀科技
Questions about the 深度智耀科技 tech stack
What programming languages does 深度智耀科技 use?
The languages named in 深度智耀科技 job postings are Java (25%), JavaScript (25%), Node JS (25%), Python (25%), SQL (25%), as a share of the 4 postings of the last 12 months.
Does 深度智耀科技 use Push Notifications?
Yes. Push Notifications is named in 2 of 4 job postings (50%) and required in 2 of them.
What cloud and platforms does 深度智耀科技 use?
The cloud and platforms named in 深度智耀科技 job postings are AWS (1), Apache Kafka (1), Azure (1) (postings in brackets).
Is the 深度智耀科技 tech stack changing?
No new technology has appeared in 深度智耀科技 job postings in the last six months.
How modern is the 深度智耀科技 tech stack?
深度智耀科技 scores 84 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the 深度智耀科技 tech stack?
Alion reads every job posting 深度智耀科技 publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Oct 31, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "深度智耀科技 tech stack: 38 technologies from 4 job postings", as of Oct 31, 2026. https://alion.io/company/Shenduzhiyaokeji/technologies
