Bot Auto tech stack
Bot Auto builds mostly with Python, C++, JavaScript, TypeScript. Its stack also includes Kubernetes, AWS, PyTorch, CUDA. Python is named in 17 of the 19 job postings Bot Auto published in the last 12 months (89%). Counted by Alion from the job postings of Bot Auto, updated Sep 28, 2026.
What programming languages does Bot Auto use?
Python is named in 89% of job postings at Bot Auto, followed by C++ (42%), JavaScript (37%), TypeScript (37%).
Show all (12)
What frameworks and libraries does Bot Auto use?
PyTorch is named in 32% of job postings at Bot Auto, followed by CUDA (21%), PyTorch C++ (16%), LangChain (11%).
Show all (17)
What cloud and platforms does Bot Auto use?
Kubernetes is named in 42% of job postings at Bot Auto, followed by AWS (37%), CUDA Toolkit (21%), GCP (21%).
Show all (26)
What developer tools does Bot Auto use?
TensorRT is named in 26% of job postings at Bot Auto, followed by Docker (21%), Pulumi (21%), Terraform (21%).
Show all (24)
What AI and ML technologies does Bot Auto use?
LLM is named in 26% of job postings at Bot Auto.
Which engineering practices does Bot Auto ask for?
AI Agents is named in 47% of job postings at Bot Auto, followed by CI/CD (32%), Machine Learning (32%), IAM (21%).
Show all (30)
What other technologies does Bot Auto use?
StateFlow is named in 5% of job postings at Bot Auto.
What does each Bot Auto team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
7 postingsAI/ML
6 postingsHow does your stack fit Bot Auto?
How is the Bot Auto stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Bot Auto stack?
Bot Auto scores 73 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: 1; legacy ones: 0.
Companies with a stack like Bot Auto
Questions about the Bot Auto tech stack
What programming languages does Bot Auto use?
The languages named in Bot Auto job postings are Python (89%), C++ (42%), JavaScript (37%), TypeScript (37%), Go (32%), as a share of the 19 postings of the last 12 months.
Does Bot Auto use PyTorch?
Yes. PyTorch is named in 6 of 19 job postings (32%) and required in 4 of them.
What cloud and platforms does Bot Auto use?
The cloud and platforms named in Bot Auto job postings are Kubernetes (8), AWS (7), CUDA Toolkit (4) (postings in brackets).
What skills do you need for a Backend job at Bot Auto?
Backend postings at Bot Auto most often require Python (7), AWS (5), JavaScript (5), Kubernetes (5), out of 7 postings in the last 12 months.
Is the Bot Auto tech stack changing?
Yes. Rust, SIEM, PowerShell, Windows first appeared in Bot Auto job postings in the last six months.
How modern is the Bot Auto tech stack?
Bot Auto scores 73 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: 1; legacy ones: 0.
How does Alion know the Bot Auto tech stack?
Alion reads every job posting Bot Auto publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Sep 28, 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, "Bot Auto tech stack: 111 technologies from 19 job postings", as of Sep 28, 2026. https://alion.io/company/bot-auto/technologies
