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A College Project That Planted a Seed Years ago I was on a university team trying to build a Go AI. We explored monte carlo simulation for lookahead search, basic neural networks for pattern recognition, and expert systems for encoding domain knowledge. None of them worked well enough on their own. Go's branching factor is enormous, so brute-force search fails quickly. Neural networks without th
Vibe coding is a good starting point, but it is not where serious AI-assisted development ends. The next step is agentic engineering: using AI coding agents inside a controlled engineering workflow, with context, tests, review and clear boundaries. Vibe coding often focuses on the generated output: Ask for feature -> get code -> run it -> ask for fixes Agentic engineering focuses on the system ar
The landscape of mobile development is shifting beneath our feet. For years, "Smart Apps" were simply thin clients for powerful cloud APIs. If you wanted to understand the sentiment of a sentence or find similar documents, you packaged a JSON request, sent it to a server, and waited for a response. But the era of the "Cloud-First" mandate is being challenged by a new priority: Privacy-Centric, Low
If you've spent any time doing Android development from the command line, you know the rhythm: adb devices, adb logcat, adb shell, repeat. It works, but it's friction — switching between windows, retyping device serials, manually grep-ing through logcat noise. padb is a Python-based terminal UI that wraps all of that into one interactive session. No GUI required, no Android Studio open in the back
This article is an AI-assisted translation of a Japanese technical article. In April 2026, Amazon Bedrock AgentCore added a new capability called Optimization, which takes real agent traces and proposes prompt improvements based on them. https://aws.amazon.com/about-aws/whats-new/2026/05/bedrock-agentcore-optimization-preview/ In this article, I apply AgentCore Optimization to a Strands Agents-as-
A Haystack pipeline can be perfectly wired and still unsafe. The retriever returns documents. Every component did its job. But if untrusted text moved through the pipeline as ordinary context, the trust boundary was lost. That is the problem this post is about. Not bad Python. A valid component connection only says: this value fits the next component It does not say: this value is safe to influen