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Visual Python profiler with flame graphs and diff mode
https://www.reddit.com/r/programming/comments/1pa1it7/visual_python_profiler_with_flame_graphs_and_diff/

<!-- SC_OFF -->Features: - Interactive flame graphs (click to zoom) - Timeline view (CPU + memory over time) - Diff mode (compare two runs side-by-side) - Optimization coach (tells you WHAT to fix, not just WHERE) - Zero setup - launches with a realistic demo It's a single Python file (~5000 lines). Install PySide6, run it, done. Made it for myself while withdrawing on weed (to at least activate some dopamine receptors) but figured someone else might find it useful. <!-- SC_ON --> submitted by /u/Scary_Panic3165 (https://www.reddit.com/user/Scary_Panic3165)
[link] (https://github.com/farukalpay/PerfLens/) [comments] (https://www.reddit.com/r/programming/comments/1pa1it7/visual_python_profiler_with_flame_graphs_and_diff/)
Tilesets and Makefiles
https://www.reddit.com/r/programming/comments/1pa1olk/tilesets_and_makefiles/

<!-- SC_OFF -->I decided to automate my whole tilemap generation using only image magick and a makefile. Hopefully someone could use this in their projects :) <!-- SC_ON --> submitted by /u/countkillalot (https://www.reddit.com/user/countkillalot)
[link] (https://yasendinkov.com/posts/tilesets/) [comments] (https://www.reddit.com/r/programming/comments/1pa1olk/tilesets_and_makefiles/)
Documentation Exporter (For pasting into LLMs)
https://www.reddit.com/r/programming/comments/1pa1rec/documentation_exporter_for_pasting_into_llms/

<!-- SC_OFF -->Hey, I built a tool that automatically exports every documentation page from any Mintlify site into markdown. No more manually copying pages one by one. You can grab full docs for things like the Anthropic API or TensorZero and drop them straight into an LLM. It’s live at docs-exporter (https://otso.veistera.com/docs-exporter/), and the source code is on Github (https://github.com/OtsoBear/docs-exporter.git). Built it to dump docs to models for myself, and posting it here if it could be useful for someone else! <!-- SC_ON --> submitted by /u/OtsoBear (https://www.reddit.com/user/OtsoBear)
[link] (https://otso.veistera.com/docs-exporter/) [comments] (https://www.reddit.com/r/programming/comments/1pa1rec/documentation_exporter_for_pasting_into_llms/)
Technical Design Documents - Part 1 - Case-Study 1
https://www.reddit.com/r/programming/comments/1papdni/technical_design_documents_part_1_casestudy_1/

<!-- SC_OFF -->On this video I talk about Technical Design Documents, a kind of artifacts which are key to the success of any software development project. To give context to the lesson I use the technical design document that I created for my Cloud-Based Multi-Service Platform for Smart Event Management case-study project . <!-- SC_ON --> submitted by /u/ZoePsomi (https://www.reddit.com/user/ZoePsomi)
[link] (https://www.youtube.com/watch?v=bW7mVe3dn2o&list=PLgcaIrgxzJn_IScY-VDAT9pqdS82HKVjV&index=2) [comments] (https://www.reddit.com/r/programming/comments/1papdni/technical_design_documents_part_1_casestudy_1/)
httpp - tiny, fast header only http 1.1 parser library in c
https://www.reddit.com/r/programming/comments/1pasabh/httpp_tiny_fast_header_only_http_11_parser/

<!-- SC_OFF -->Pretty fast and easy to extend zero-allocation parsing library. If you wish to learn about pointer arithmetic, this one definitely will help! <!-- SC_ON --> submitted by /u/Born_Produce9805 (https://www.reddit.com/user/Born_Produce9805)
[link] (https://github.com/cebem1nt/httpp) [comments] (https://www.reddit.com/r/programming/comments/1pasabh/httpp_tiny_fast_header_only_http_11_parser/)
Developers Have Nothing To Fear From Generative AI
https://www.reddit.com/r/programming/comments/1patcfs/developers_have_nothing_to_fear_from_generative_ai/

<!-- SC_OFF -->Generative AI is prolific. However the hype around it taking every job is sorely misplaced.
I discuss what areas will see the greatest impact from the use of generative AI and many of the possible ways it will effect our lives. <!-- SC_ON --> submitted by /u/friendly-devops (https://www.reddit.com/user/friendly-devops)
[link] (http://youtube.com/watch?v=DRGA5uPxzEU&feature=youtu.be) [comments] (https://www.reddit.com/r/programming/comments/1patcfs/developers_have_nothing_to_fear_from_generative_ai/)