Shizuku AI tech stack

Shizuku AI builds mostly with Python, TypeScript, C++. Its stack also includes AWS, Kubernetes, Hadoop, PyTorch. Python is named in 3 of the 3 job postings Shizuku AI published in the last 12 months (100%). Counted by Alion from the job postings of Shizuku AI, updated Nov 2, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 2, 2026
Technologies in use
18
Postings analysed
3
Modernity
68 /100

What programming languages does Shizuku AI use?

Python is named in 100% of job postings at Shizuku AI, followed by TypeScript (100%), C++ (67%).

Python 3 100% required in 100% · since Jun 2026
TypeScript 3 100% required in 100% · since Jun 2026
C++ 2 67% required in 100% · since Jun 2026

What frameworks and libraries does Shizuku AI use?

Hadoop is named in 33% of job postings at Shizuku AI, followed by PyTorch (33%), Megatron-LM (33%).

Hadoop 1 33% required in 100% · since Jun 2026
PyTorch 1 33% required in 100% · since Jul 2026
Megatron-LM 1 33% optional · since Jul 2026

What cloud and platforms does Shizuku AI use?

AWS is named in 100% of job postings at Shizuku AI, followed by Kubernetes (67%), Weights & Biases (67%), Spark (33%).

AWS 3 100% required in 100% · since Jun 2026
Kubernetes 2 67% required in 100% · since Jun 2026
Weights & Biases 2 67% optional · since Jun 2026
Spark 1 33% required in 100% · since Jun 2026
Amazon SageMaker 1 33% optional · since Jun 2026
TorchServe 1 33% optional · since Jun 2026

What developer tools does Shizuku AI use?

Docker is named in 67% of job postings at Shizuku AI, followed by OpenStack (33%).

Docker 2 67% required in 100% · since Jun 2026
OpenStack 1 33% required in 100% · since Jun 2026

Which engineering practices does Shizuku AI ask for?

Speech Recognition is named in 67% of job postings at Shizuku AI, followed by Text-to-Speech (67%), NLP (33%), Post-training (33%).

Speech Recognition 2 67% required in 100% · since Jul 2026
Text-to-Speech 2 67% required in 100% · since Jul 2026
NLP 1 33% required in 100% · since Jul 2026
Post-training 1 33% optional · since Jul 2026

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How modern is the Shizuku AI stack?

Modern 68/100

Shizuku AI scores 68 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How common is the Shizuku AI stack in its industry?

Share of the 5,807 companies in the same industries, whose stack Alion knows, that use each technology.

AWS38%
Python48%
TypeScript38%
C++12%
Kubernetes33%
Weights & Biases1%
Amazon SageMaker3%
Hadoop4%
Megatron-LM0%
PyTorch10%

Questions about the Shizuku AI tech stack

What programming languages does Shizuku AI use?

The languages named in Shizuku AI job postings are Python (100%), TypeScript (100%), C++ (67%), as a share of the 3 postings of the last 12 months.

Does Shizuku AI use AWS?

Yes. AWS is named in 3 of 3 job postings (100%) and required in 3 of them.

What cloud and platforms does Shizuku AI use?

The cloud and platforms named in Shizuku AI job postings are AWS (3), Kubernetes (2), Weights & Biases (2) (postings in brackets).

Is the Shizuku AI tech stack changing?

No new technology has appeared in Shizuku AI job postings in the last six months.

How modern is the Shizuku AI tech stack?

Shizuku AI scores 68 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How does Alion know the Shizuku AI tech stack?

Alion reads every job posting Shizuku AI publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Nov 2, 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, "Shizuku AI tech stack: 18 technologies from 3 job postings", as of Nov 2, 2026. https://alion.io/company/shizuku-ai/technologies

Licence: CC BY-SA 4.0JSON