Tech stack
Tools picked for outcomes, not for hype.
Our stack is small on purpose. Each tool earns its place by doing one thing well in the chain from business analysis to a running agent your team can trust.
Frontier LLMs
Anthropic
Claude as the default model for high-reasoning, long-context agent workflows — especially where safety and steerability matter.
Multi-agent orchestration
CrewAI
When a single prompt is not enough, CrewAI lets us build teams of specialised agents that plan, act and review.
Local & on-prem LLMs
LLM Studio
For clients with strict data-residency requirements, we run and fine-tune models locally via LLM Studio — no data leaves the perimeter.
Agent engineering
Python
The core language for our agent pipelines, evaluation harnesses and data engineering work.
Backend & APIs
Node.js
Our go-to runtime for real-time APIs, webhook routing and integrating agent outputs into customer-facing apps.
Delivery
Linear
The workbench for every QwertyBit engagement — roadmap, issues, releases, and the receipts of what shipped and when.
Version control & CI
GitHub
Every line we write lives in your GitHub. Transparent delivery, PR reviews, and continuous integration on day one.
Knowledge base
Notion
Where playbooks, process maps and agent briefs live — and the data source for many internal-knowledge agents.
Process mapping
Miro
The canvas for business analysis and opportunity mapping workshops — every diagram we draw with you ends up here.
Ready to see where agents can take cost out of your business?
Tell us about the process you want to optimise. Vlad personally reviews every brief and replies within one business day.