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API Live Sync #4: OpenAI Fetcher
https://www.reddit.com/r/programming/comments/1msmgqq/api_live_sync_4_openai_fetcher/

<!-- SC_OFF -->In our previous articles, we laid the foundation with architecture, data structures, and the core service layer. Now it's time to tackle one of the most challenging parts of live API synchronization: actually fetching those OpenAPI specifications from development servers. <!-- SC_ON --> submitted by /u/evilhighlord (https://www.reddit.com/user/evilhighlord)
[link] (https://creative-labs.hashnode.dev/api-live-sync-4-openai-fetcher) [comments] (https://www.reddit.com/r/programming/comments/1msmgqq/api_live_sync_4_openai_fetcher/)
2BlueRings – Building my own AI UX layer (memory, retrieval, tools, context engineering)
https://www.reddit.com/r/programming/comments/1msu1qp/2bluerings_building_my_own_ai_ux_layer_memory/

<!-- SC_OFF -->I’ve been hacking on something I’m calling 2BlueRings, an open source project where I’m trying to implement my own take on AI UX. Instead of just “chatting with an LLM,” the idea is to give users control over the layers above the model: Memory – conversations, notes, docs that persist across threads. Retrieval – contextual grounding from code, Jira, Confluence, Slack, GitHub, etc. Tools – plug in APIs or custom logic (BYO integrations). LLM-agnostic – works with GPT-4/5, Claude, Groq, or even self-hosted. Basically, it’s aims to be my side brain for projects: Collect docs, notes, links, and code in one place. Ask questions with context. Control how the AI retrieves and reasons. I’m trying to solve for what I see as the missing piece in the current AI stack: context engineering & AI UX. Would love feedback from devs / researchers Repo: https://github.com/2bluerings/2bluerings Demo: https://www.youtube.com/watch?v=TNFCp5beOMo Would love feedback from devs/researchers. <!-- SC_ON --> submitted by /u/EcstaticDog4946 (https://www.reddit.com/user/EcstaticDog4946)
[link] (https://github.com/2bluerings/2bluerings) [comments] (https://www.reddit.com/r/programming/comments/1msu1qp/2bluerings_building_my_own_ai_ux_layer_memory/)
AWS Bedrock Agent Tutorial: Shopping & Flights Demo
https://www.reddit.com/r/programming/comments/1msvhsd/aws_bedrock_agent_tutorial_shopping_flights_demo/

<!-- SC_OFF -->Most “AI agent” posts are hand-wavy. Lots of theory, not much code. So I decided to actually build one — using AWS Bedrock Agents. Specifically, I put together a two-agent system where: One agent fetches data from APIs Another transforms and validates it before storing Along the way I hit interesting challenges: How to structure the agent workflows What Bedrock really gives you out of the box (vs. what you still need to code) Guardrails and observability when agents call external services I wrote up the full walkthrough and published a repo so you can try it yourself - Curious what others think: do multi-agent setups make sense for production today? <!-- SC_ON --> submitted by /u/skenklok (https://www.reddit.com/user/skenklok)
[link] (https://www.tostring.ai/p/hands-on-bedrock-agents-build-a-two?r=clbp9) [comments] (https://www.reddit.com/r/programming/comments/1msvhsd/aws_bedrock_agent_tutorial_shopping_flights_demo/)
Documenting Code is boring ….but it doesn’t have to be
https://www.reddit.com/r/programming/comments/1mt6zy1/documenting_code_is_boring_but_it_doesnt_have_to/

<!-- SC_OFF -->This article got me thinking about the fundamental paradox in our industry - we all desperately need good documentation, but most of us hate creating it. The piece talks about making docs “less boring” through better design and structure, but I’m more curious about the underlying problem: is the pain of writing documentation actually worth solving, or do most developers just accept it as a necessary evil? In my experience, there are roughly three camps: 1. The sufferers - Write docs because they have to, hate every minute of it 2. The skippers - Just don’t document and hope someone else deals with it later 3. The rare unicorns - Actually enjoy writing documentation (do these people exist?) What’s your honest approach? Do you: • Power through the tedium because you know it’s important? • Use any tools/automation to make it less painful? • Just… not do it unless absolutely forced? I’m particularly interested in whether people think this is a problem worth solving with better tooling, or if it’s just an inherent part of development that we need to accept. <!-- SC_ON --> submitted by /u/Ok-Ad7050 (https://www.reddit.com/user/Ok-Ad7050)
[link] (https://medium.com/steeple-product/how-to-make-documentation-less-boring-ea50fcfa56fb) [comments] (https://www.reddit.com/r/programming/comments/1mt6zy1/documenting_code_is_boring_but_it_doesnt_have_to/)
NUMA Is the New Network: How Per-Socket Memory Models Are Reshaping Microservice Placement
https://www.reddit.com/r/programming/comments/1mt8qjj/numa_is_the_new_network_how_persocket_memory/

<!-- SC_OFF -->Explores how Non-Uniform Memory Access (NUMA) is reshaping microservice placement. <!-- SC_ON --> submitted by /u/mqian41 (https://www.reddit.com/user/mqian41)
[link] (https://codemia.io/blog/path/NUMA-Is-the-New-Network-How-Per-Socket-Memory-Models-Are-Reshaping-Microservice-Placement) [comments] (https://www.reddit.com/r/programming/comments/1mt8qjj/numa_is_the_new_network_how_persocket_memory/)
Kanban board TUI in go
https://www.reddit.com/r/programming/comments/1mtc89w/kanban_board_tui_in_go/

<!-- SC_OFF -->A kanban board implement in go. vim like motion undo and redo. the board are based on a list of markdown files I will implement the obsidian and nelvim plugin for this little tui. I just suffer from slow workspace switching in obsidian, use tmux session to manage workspace is much smoother to me. Because I can't escape terminal workflow which make me feel pain sometimes <!-- SC_ON --> submitted by /u/Remarkable-Hunt6309 (https://www.reddit.com/user/Remarkable-Hunt6309)
[link] (https://github.com/sokinpui/kanban-tui) [comments] (https://www.reddit.com/r/programming/comments/1mtc89w/kanban_board_tui_in_go/)