Technology Related Blog

  Xdebug : Helps you debug and profile PHP code. It tells you: Where your code is slow Which functions are called most often Helps fix bugs and optimize performance Blackfire : A performance profiler that: Shows you bottlenecks in your PHP code Helps optimize CPU and memory usage Improves overall PHP app speed Tideways : Similar to Blackfire, it: Profiles PHP apps in production Helps find slow parts of your code Improves app performance and reliability

 https://app.emergent.sh/ https://opal.google/

 https://expo.dev/pricing

connect AI with external data and services  --  allowing them to retrieve real-time information, use external tools, and perform action https://medium.com/@jaiyantan01/mcp-told-like-a-story-1-e7e8efc021bd https://medium.com/@jaiyantan01/mcp-told-like-a-story-part-2-b7b5ac7a88d0?source=post_page---author_recirc--71cda811d2af----0---------------------f65cab18_b367_456e_9133_4a02156e7e95-------------- https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/

  Incremental training (fine‑tuning) A few common ways to keep the forgetting in check are: Regularization – penalize large changes to important weights (e.g., Elastic Weight Consolidation). Replay / experience replay – mix in a small sample of the original data while fine‑tuning. Adapters or LoRA – freeze most of the original weights and train only a tiny set of extra parameters, so the core knowledge stays intact. Checkpoint averaging – keep a copy of the original checkpoint and merge it with the fine‑tuned version.

 https://medium.com/@jaiyantan01/building-mini-gpt-from-scratch-with-pytorch-71cda811d2af