Last year, when I joined my current company, I was tasked with preparing a teaching analysis environment for bioinformatics training. This opportunity introduced me to Pixi. Later, as my responsibilities shifted, I not only continued with bioinformatics analysis but also took on full‑stack maintenance work. The projects I handled spanned front‑end and back‑end, involving languages and frameworks beyond the data‑science staples R and Python. Pixi has still been able to serve as a cross‑language/stack development environment management tool (Conda offers an extremely rich resource pool, covering mainstream programming languages and common frameworks). Therefore, I’d like to summarize the practical Pixi features that have proven useful in my daily work.