The Future of AI Software Development(martinfowler.com)

139 points by nthypes 8 months ago | 91 comments

The consequences of task switching in supervisory programming(martinfowler.com)

96 points by bigwheels 8 months ago | 40 comments

HumbleObject (2020)(martinfowler.com)

27 points by mooreds 3 years ago | 18 comments

Using the Strangler Fig with Mobile Apps(martinfowler.com)

46 points by timbilt 2 years ago | 13 comments

Software Architecture Guide (2019)(martinfowler.com)

71 points by laxmena 4 months ago | 29 comments

Legacy Seam(martinfowler.com)

14 points by ingve 2 years ago | 3 comments

Some thoughts on LLMs and software development(martinfowler.com)

378 points by floverfelt 1 year ago | 347 comments

Martin Fowler's blog post sharing scattered thoughts on the state of LLMs and AI and their effect on software development.

Writing Is Closer to Thought Than Code(danielmiessler.com)

46 points by eigenBasis 8 hours ago | 21 comments

Daniel Miessler blog post arguing that written intent, via an 'Ideal State Artifact', rather than code should be the source of truth when building software with AI.

Prevent cognitive debt by manually retyping LLM-generated code(ankursethi.com)

502 points by mpweiher 2 months ago | 413 comments

A personal blog post arguing that developers should manually retype code generated by LLM coding assistants to keep understanding it and avoid cognitive debt.

Small programming tricks(will-keleher.com)

606 points by signa11 1 month ago | 266 comments

A blog post arguing that small nuggets of programming knowledge boost productivity, sharing examples like fzf-powered ctrl+r and python3 -m http.server.

Programming with Less Than Nothing(joshmoody.org)

407 points by signa11 1 year ago | 138 comments

A blog post by Josh Moody presenting a fictional interview where FizzBuzz is implemented in JavaScript using only S and K combinators.

The new skill in AI is not prompting, it's context engineering(philschmid.de)

832 points by robotswantdata 1 year ago | 467 comments

Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.