Agent engineering

Python

QwertyBit builds production Python agent pipelines, evaluation harnesses, fine-tuning workflows, and data engineering — with strict typing, tested CI, and observability from the first commit.

QwertyBit is a Python AI development agency. We build production agent pipelines, evaluation harnesses, ETL and data engineering, and fine-tuning workflows in Python — all shipped to your GitHub with strict typing, tested CI, and observability from commit one.

Why Python is our default for agent work

Python wins on three fronts where agents live:

  • The AI ecosystem — every library you would reach for exists and is actively maintained.
  • Data engineering fluency — Pandas, DuckDB, Polars, SQLAlchemy keep the data side honest.
  • Readability — agent pipelines are easier to reason about when the code is legible.

Where we use Python at QwertyBit

  • Agent orchestration. LangChain, CrewAI, custom harnesses — all Python.
  • ETL and data readiness. Phase 1 and Phase 4 work (business analysis and feasibility) usually includes a pile of Python.
  • Evaluation harnesses. The discipline that separates production agents from demos.
  • Fine-tuning pipelines when we are running on-prem with LLM Studio.

Where we pair Python with Node.js

Our production systems often have Python on the agent/data side and Node.js on the product/API side. The boundary is a queue or a typed HTTP API. Both languages do what they are best at without stepping on each other.

The engineering standards we apply

Every Python agent repo we ship has:

  • Type hints and mypy on CI.
  • ruff for linting, pytest for tests, uv for dependency management.
  • Isolated evaluation runs that do not require a developer's laptop.
  • Observability instrumentation from the first commit.

Further reading

Work with us on Python

Python-based agent builds and custom data engineering sit across our AI agent development and custom software development services. If you are choosing a stack for your AI product, book a scoping call and we'll sketch the trade-offs with you.

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.