73 Strings tech stack
73 Strings builds mostly with Java, Python, SQL, TypeScript. Its stack also includes Kubernetes, AWS, Snowflake, Cypress. Java is named in 3 of the 6 job postings 73 Strings published in the last 12 months (50%). Counted by Alion from the job postings of 73 Strings, updated Sep 27, 2026.
What programming languages does 73 Strings use?
Java is named in 50% of job postings at 73 Strings, followed by Python (50%), SQL (33%), TypeScript (33%).
What frameworks and libraries does 73 Strings use?
Cypress is named in 17% of job postings at 73 Strings, followed by Playwright (17%).
What databases does 73 Strings use?
Snowflake is named in 17% of job postings at 73 Strings.
What cloud and platforms does 73 Strings use?
Kubernetes is named in 50% of job postings at 73 Strings, followed by AWS (17%), Azure (17%), Databricks (17%).
What developer tools does 73 Strings use?
Model Context Protocol is named in 50% of job postings at 73 Strings, followed by Microsoft Excel (17%), gRPC (17%).
Which engineering practices does 73 Strings ask for?
CI/CD is named in 50% of job postings at 73 Strings, followed by Agentic Workflows (50%), LLM Evaluation (50%), AI Agents (17%).
How does your stack fit 73 Strings?
How modern is the 73 Strings stack?
73 Strings scores 75 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: 0; legacy ones: 0.
Questions about the 73 Strings tech stack
What programming languages does 73 Strings use?
The languages named in 73 Strings job postings are Java (50%), Python (50%), SQL (33%), TypeScript (33%), as a share of the 6 postings of the last 12 months.
Does 73 Strings use Kubernetes?
Yes. Kubernetes is named in 3 of 6 job postings (50%) and required in 3 of them.
What cloud and platforms does 73 Strings use?
The cloud and platforms named in 73 Strings job postings are Kubernetes (3), AWS (1), Azure (1) (postings in brackets).
Is the 73 Strings tech stack changing?
No new technology has appeared in 73 Strings job postings in the last six months.
How modern is the 73 Strings tech stack?
73 Strings scores 75 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: 0; legacy ones: 0.
How does Alion know the 73 Strings tech stack?
Alion reads every job posting 73 Strings publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Sep 27, 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, "73 Strings tech stack: 24 technologies from 6 job postings", as of Sep 27, 2026. https://alion.io/company/73strings/technologies
