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DEV Community
dev.to > wakita181009 > an-llm-broke-my-architecture-in-one-generation-i-made-that-a-build-error-1ae0

An LLM Broke My Architecture in One Generation. I Made That a Build Error

33+ min ago  (1657+ words) How custom detekt rules, specialized AI agents, and specification-driven development keep Clean Architecture intact " even when an LLM writes the code. Part 5 " " Part 1: Clean Architecture in Kotlin | " Part 2: Your Tests Are Slow Because Your Architecture Has No Seams | " Part 3: I…...

DEV Community
dev.to > lucsetzer > intro-to-codedecipher-me-1p5j

Intro to CodeDecipher & Me

1+ hour, 51+ min ago  (153+ words) " Hi, I'm Luc, I'm brand new here. I'm a jack of all trades and master of a few things. I'm neurodivergent, so my brain works a tiny bit different. After years of teaching Python coding to university students, I decided…...

Insurance Journal
insurancejournal.com > magazines > mag-features > 02/23/2026 > 858361.htm

2025 AGENTS of the Year

2+ hour ago  (229+ words) Welcome to Insurance Journal's Agents of the Year report. This report features 26 agents who defined what it meant to be a successful independent agent in 2025. These agents are more than top sellers. While they have achieved impressive success " Welcome to…...

DEV Community
dev.to > huckler > pcworkman-168-when-quick-fix-took-3-weeks-data-engine-ai-context-70-performance-2d9l

PC_Workman 1.6.8: When "Quick Fix" Took 3 Weeks (Data Engine + AI Context + 70% Performance)

2+ hour, 59+ min ago  (1523+ words) How I rebuilt the data engine, added AI context awareness, gained 70% performance, and learned that scope creep isn't always bad Version 1.6.8 wasn't supposed to be this big. The plan was simple: fix the temporary chart system that couldn't show historical…...

lesswrong.com
lesswrong.com > posts > DiBcyBpZAW2MdC6Xy > adapters-as-representational-hypotheses-what-adapter-methods

Adapters as Representational Hypotheses: What Adapter Methods Tell Us About Transformer Geometry — LessWrong

3+ hour, 48+ min ago  (547+ words) Adapter fine-tuning papers (like LoRA) are usually read as engineering races, but they are also experiments about model geometry. So the claim: adapter papers are an underused source of intervention evidence for interpretability, if we read them as hypothesis tests…...

Analytics Vidhya
analyticsvidhya.com > blog > 2026 > 02 > prompt-repetition

Prompt Repetition: The Overlooked Hack for Better LLM Results

4+ hour, 21+ min ago  (941+ words) To understand why repetition helps, we need to look at how LLMs process text. Most large language models are trained in a'causal'way. They predict tokens one by one, and each token can only attend to the tokens that came before…...

DEV Community
dev.to > ashisane > i-built-a-neural-network-from-scratch-no-frameworks-heres-what-i-discovered-5ee

I Built a Neural Network from Scratch (No Frameworks) - Here's What I Discovered

4+ hour, 21+ min ago  (868+ words) Week 1: Build a neural network from scratch that recognizes handwritten digits. My first question wasn't about gradients or loss functions. It was: what information can you extract from a single pixel? I pulled the dataset from Hugging Face and went…...

Earth.com
earth.com > news > organic-molecules-chitin-found-in-a-500-million-year-old-fossil-trilobyte

Organic molecules found in a 500-million-year-old fossil, upending the science of paleontology

4+ hour, 47+ min ago  (822+ words) Scientists have found traces of a tough material that once formed the outer shells of ancient sea creatures called trilobites, preserved inside fossils that are more than 500 million years old. The discovery shows that parts of living organisms can last…...

TechBullion
techbullion.com > neuro-symbolic-ai-and-the-quest-for-trusted-intelligence-in-professional-sectors

Neuro-Symbolic AI and the Quest for Trusted Intelligence in Professional Sectors

4+ hour, 59+ min ago  (196+ words) Traditional "Neural" AI (like GPT) works by predicting the "Next Token" based on probability. "Symbolic" AI works by following "Hard Rules" and logic. In 2026, the two are integrated: The Neural Layer: Handles the "Unstructured Data'understanding the nuance of human language,…...

MarkTechPost
marktechpost.com > 02/22/2026 > forget-keyword-imitation-bytedance-ai-maps-molecular-bonds-in-ai-reasoning-to-stabilize-long-chain-of-thought-performance-and-reinforcement-learning-rl-training

Forget Keyword Imitation: ByteDance AI Maps Molecular Bonds in AI Reasoning to Stabilize Long Chain-of-Thought Performance and Reinforcement Learning (RL) Training

5+ hour, 6+ min ago  (324+ words) ByteDance Seed recently dropped a research that might change how we build reasoning AI. For years, devs and AI researchers have struggled to "cold-start" Large Language Models (LLMs) into Long Chain-of-Thought (Long CoT) models. Most models lose their way or…...