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14h ago · 5 min read · Stop Asking AI to Write Code. Ask It What to Build Instead. Most developers use AI to generate code. I do that too. But the most valuable way I use AI isn't writing code—it's helping me decide what to
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12h ago · 14 min read · NeuralStack | MS Tech Blog – Databases & Data Engineering in AI Security Engineering, Part 3 of 4 The Retrieval Pipeline as a Trust Boundary Retrieval-Augmented Generation (RAG) is now the dominant a
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21m ago · 7 min read · Everything in the earlier modules assumed the happy path: the API responds, the model generates valid output, tools return results, the stream closes cleanly. In production, none of that is guaranteed
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1 post this monthI do fancy stuff with Oracle APEX #orclapex
7 posts this monthProgrammable Infrastructure & EVM Execution Intelligence
5 posts this monthSenior .Net Engineer
4 posts this monthHey, I’m Ahmer — a Software Engineering student & full-stack dev sharing projects, dev logs, and lessons from the code trenches.
2 posts this month
Full Stack Development
1 post this monthI do fancy stuff with Oracle APEX #orclapex
7 posts this monthProgrammable Infrastructure & EVM Execution Intelligence
5 posts this monthSenior .Net Engineer
4 posts this monthHey, I’m Ahmer — a Software Engineering student & full-stack dev sharing projects, dev logs, and lessons from the code trenches.
2 posts this monthAwesome project! Turning Johan Liebert into an AI-powered Discord bot is both creative and technically impressive. Great work
Nice explanation of the differences between find(), findIndex(), findLast(), and findLastIndex(). The examples make it easy to understand why JavaScript starts indexing from 0, which is often a point of confusion for beginners.
Excellent summary! Multi-Agent Orchestration and MCP integration are game-changers. Summer '26 clearly shows Salesforce is going all-in on AI-powered enterprise workflows.
Though we are moving at a fast pace towards AI agents, I personally feel that AI agents could be used as assistants rather than replacing humans. As we know, sometimes AI agents start hallucinating. That is where engineers are needed the most—to check and rectify issues before shipping. OR, we could come up with something that would help AI agents perform better without hallucinating.
Internal wikis and markdown files go completely out of date the minute they hit the main branch. Humans get lazy, and code moves too fast. Since modern models rely on precise, structured context, stro
how data and functions are to be used. It makes code easier to read, cuts down on errors, and helps developers understand systems more quick...
Strong typing tells me what the system accepts, it doesn't tell me why the system exists or why a business rule was added. I still find that...
