(2023-04-30) Thoughtworks Technology Radar Volume28
Thoughtworks Radar volume 28. Themes for this volume
The meteoric rise of practical AI
Accessible accessibility
Lambda quicksand
like many useful things, solutions sometimes start suitably simple but then, from relentless gradual success, keep evolving until they reach beyond the limitations inherent in the paradigm and sink into the sand under their own weight
we also hear many cautionary tales from our projects, such as the Lambda pinball antipattern
Engineering rigor meets analytics and AI
To declare or program?
A seemingly perpetual discussion that happens at every Radar gathering gained particular prominence this time — for a given task, should you write a declarative specification using JSON, YAML or something domain-specific like HCL, or should you write code in a general-purpose programming language?
Declarative specifications, while often easier to read and write, offer limited abstractions which leads to repetitive code.
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