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file:: [tr_technology_radar_vol_30_en_1712140709471_0.pdf](../assets/tr_technology_radar_vol_30_en_1712140709471_0.pdf) file-path:: ../assets/tr_technology_radar_vol_30_en_1712140709471_0.pdf - numerous conversations about how the holistic use of AI across an entire team changes aspects of software development. ls-type:: annotation hl-page:: 6 hl-color:: yellow id:: 660d326e-3089-4250-8228-56ebc874726a - We discussed how retrieval-augmented generation (RAG) is our preferred pattern to enhance the quality of LLM outputs, especially in the enterprise ecosystem. Additionally, we discussed techniques like using a lower-powered (and more cost-efficient) LLM to produce material which is selectively vetted by a more powerful (and expensive) LLM ls-type:: annotation hl-page:: 7 hl-color:: yellow id:: 660d3310-6d1b-429f-80f5-5b45f8ec92a3 - Combining traditional NLP with LLMs ls-type:: annotation hl-page:: 12 hl-color:: yellow id:: 660d3509-3b90-4cf1-98e7-db720598847f - ls-type:: annotation hl-page:: 27 hl-color:: yellow id:: 660d36f8-342c-43a9-96c3-95545c87cbb1 44. Conan Adopt Conan is an open-source dependency management tool for C/C++ applications. It provides an intuitive interface for defining, fetching and managing dependencies which makes it easy for developers to integrate third-party libraries into their projects - ls-type:: annotation hl-page:: 27 hl-color:: yellow id:: 660d372f-d553-4b6d-b8dd-350d11607ac1 45. Kaniko Adopt We added Kaniko to the Radar in October 2022, shortly after Kubernetes moved on from supporting Docker, highlighting at the time the trend away from Docker as the default to build container images within container-based pipelines. - ls-type:: annotation hl-page:: 27 hl-color:: yellow id:: 660d3739-1af3-4f18-b3a1-fcd15e922ec3 46. Karpenter Adopt One of the fundamental capabilities of Kubernetes is horizontal autoscaling: its ability to launch new pods when additional capacity is needed and shut them down when loads decrease. However, this only works if the nodes needed to host the pods already exist - ls-type:: annotation hl-page:: 30 hl-color:: yellow id:: 660d3801-4a4a-4f4e-a4c9-edc8a6ad920d 57. Maestro Trial Maestro is extremely useful when testing complex flows in mobile applications. Our teams have found it easy to learn, easy to understand and easy to integrate into our development workflow. Maestro supports a range of mobile platforms including iOS, Android, React Native and Flutter apps - ls-type:: annotation hl-page:: 38 hl-color:: yellow id:: 660d38f6-0754-4f53-bfca-dd30ece83312 85. DataComPy Trial Comparing DataFrames is a common task in data engineering, often done to compare the output of two data transformation approaches to make sure no meaningful deviations or inconsistencies have occurred.