SCC Comets

SCC Comets2026-04-16T06:28:37+00:00https://scc-comets.com/Tess Rempelhttps://scc-comets.com/author/tess-rempel/Pair Reviewing with AI: Human + Model Code Review Workflows

Learn how to combine AI models with human expertise to streamline code reviews, reduce PR cycle times, and improve long-term software maintainability.

2026-04-16T06:28:37+00:002026-04-16T06:28:37+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Keyboard and Screen Reader Support in AI-Generated UI Components

Learn how to ensure AI-generated UI components support keyboard navigation and screen readers, from implementing ARIA attributes to avoiding common keyboard traps.

2026-04-14T06:29:47+00:002026-04-14T06:29:47+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Safety Innovations in Generative AI: Contextual Policies and Dynamic Guardrails

Explore the latest in Generative AI safety for 2026, focusing on contextual policies and dynamic guardrails to combat deepfakes and AI-driven cyberattacks.

2026-04-13T06:28:43+00:002026-04-13T06:28:43+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Legal Guide to Deploying Open-Source LLMs: Licensing and Compliance

Navigate the legal complexities of open-source LLMs. Learn the difference between permissive and copyleft licenses and how to avoid multi-million dollar penalties.

2026-04-12T06:20:00+00:002026-04-12T06:20:00+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Privacy Controls for RAG: Implementing Row-Level Security and Redaction

Learn how to secure RAG architectures using row-level security and redaction. Prevent data leaks and PII exposure in LLM applications with a defense-in-depth strategy.

2026-04-11T06:33:56+00:002026-04-11T06:33:56+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Design Systems for AI-Generated UI: Keeping Components Consistent

Learn how to integrate AI into your design systems using design tokens and constraint-based generation to maintain UI consistency and accessibility.

2026-04-10T06:24:25+00:002026-04-10T06:24:25+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Mastering LLM Prompting for Unit Tests and Code Refactoring

Learn how to use structured prompt patterns like the Recipe and Context patterns to generate passing unit tests and safe code refactors using LLMs.

2026-04-09T05:50:11+00:002026-04-09T05:50:11+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Data Retention Policies for Vibe-Coded SaaS: What to Keep and Purge

Learn how to manage data retention for vibe-coded SaaS apps. Avoid GDPR fines and reduce storage costs by implementing strict data minimization in your AI prompts.

2026-04-08T06:12:33+00:002026-04-08T06:12:33+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Solving Dataset Bias in Multimodal Generative AI: A Guide to Fair Representation

Explore how dataset bias affects multimodal generative AI, the difference between under and misrepresentation, and the latest CA-GAN techniques to ensure fair AI outputs.

2026-04-07T05:59:54+00:002026-04-07T05:59:54+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Structured Prompting: How to Constrain LLM Reasoning for Better Accuracy

Learn how to use structured prompting to constrain LLM reasoning, reduce hallucinations, and improve factuality through frameworks like Chain-of-Thought and DisCIPL.

2026-04-05T06:06:34+00:002026-04-05T06:06:34+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Why Transformers Use Two-Layer Feedforward Networks for LLM Performance

Explore why the two-layer Feedforward Network is essential for LLMs. Learn how this design balances non-linearity, factual memory, and computational efficiency.

2026-04-04T00:52:52+00:002026-04-04T00:52:52+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Transparency and Explainability in Large Language Model Decisions

Explore how transparency and explainability impact large language model decisions, covering data provenance, bias mitigation, and XAI techniques for trustworthy AI.

2026-04-01T06:04:09+00:002026-04-01T06:04:09+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/How LSTMs Paved the Way for Transformer-Based Large Language Models

Explore how LSTM networks solved the vanishing gradient problem and set the foundation for modern Transformers. This guide covers the architectural evolution from sequential processing to parallel attention mechanisms.

2026-03-31T06:20:09+00:002026-03-31T06:20:09+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Agentic Generative AI: Mastering Autonomous Planning and Workflow Execution

Discover how Agentic Generative AI transforms reactive chatbots into proactive systems that plan and execute multi-step workflows autonomously.

2026-03-30T06:17:49+00:002026-03-30T06:17:49+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Cybersecurity and Generative AI: Threat Reports, Playbooks, and Simulations

Explore the 2026 cybersecurity landscape where Generative AI drives both threats and defense. Learn about key risks like prompt injections, shadow agents, and how to build effective security playbooks using industry frameworks.

2026-03-29T06:01:18+00:002026-03-29T06:01:18+00:00CybersecurityTess Rempelhttps://scc-comets.com/author/tess-rempel/Building AI Chatbots and Assistants with Vibe Coding and Retrieval Systems

Learn how to build advanced AI assistants using vibe coding and retrieval-augmented generation. We cover tools like Cursor and Windsurf, practical RAG setups, and real-world troubleshooting tips.

2026-03-28T05:56:45+00:002026-03-28T05:56:45+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/From BERT to GPT: Understanding the Evolution of AI Architectures

Explore the key architectural differences between BERT and GPT models. Learn how encoder-only and decoder-only designs impact text understanding and generation.

2026-03-27T06:11:11+00:002026-03-27T06:11:11+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Multilingual NLP Progress: How Large Language Models Handle Many Languages

Explore how Large Language Models manage multiple languages, covering architectural changes, the English-centric reasoning layer, and challenges for low-resource tongues.

2026-03-26T06:56:24+00:002026-03-26T06:56:24+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Predicting Future LLM Price Trends: Competition and Commoditization (2026-2027)

LLM prices have plummeted 98% since 2023. Discover the 2026 pricing landscape, hidden costs like reasoning tokens, and the shift to per-action billing models.

2026-03-25T06:44:31+00:002026-03-25T06:44:31+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/On-Device Generative AI: How Edge AI Delivers Privacy and Speed Without the Cloud

On-device generative AI processes data locally on your phone or smart device, eliminating cloud delays and keeping your data private. It's faster, more secure, and already in your hands.

2026-03-23T06:05:46+00:002026-03-23T06:05:46+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Monolith or Microservices for Vibe Coding: How to Choose the Right Architecture

Choosing between monolith and microservices in Vibe Coding isn't about trends-it's about flow. Learn when to stick with one codebase and when to break things apart for faster, smarter shipping.

2026-03-22T06:03:36+00:002026-03-22T06:03:36+00:00Software ArchitectureTess Rempelhttps://scc-comets.com/author/tess-rempel/Role Assignment in Vibe Coding Prompts: Senior Architect vs Junior Developer

Role assignment in vibe coding lets you tell AI whether to act like a senior architect or junior developer - and it dramatically changes code quality, security, and review time. Learn how to use it effectively.

2026-03-21T06:05:48+00:002026-03-21T06:05:48+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/How AI High Performers Capture Value from Generative AI: Workflow Redesign and Scaling

High-performing organizations don’t just use generative AI - they redesign workflows around it. Learn how companies like Klarna, Colgate, and Five Sigma cut costs, boosted productivity, and re-engaged employees by focusing on one high-impact use case at a time.

2026-03-20T06:06:48+00:002026-03-20T06:06:48+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Scientific Workflows with Large Language Models: How Researchers Are Using Sci-LLMs to Accelerate Discovery

Scientific Large Language Models (Sci-LLMs) are accelerating research by automating literature reviews, generating hypotheses, and designing experiments. Learn how they work, where they excel, and where they still fail.

2026-03-19T05:55:27+00:002026-03-19T05:55:27+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Token Probability Calibration in LLMs: How to Fix Overconfidence in AI Predictions

Token probability calibration fixes AI overconfidence by aligning predicted probabilities with real accuracy. Learn how GPT-4, Llama-2, and other models misjudge confidence-and what to do about it.

2026-03-18T06:12:45+00:002026-03-18T06:12:45+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Natural Language to Schema: How to Prompt Databases and ER Diagrams Effectively

Natural Language to Schema lets non-technical users query databases using plain English. Learn how ER diagrams, schema awareness, and LLMs work together to turn spoken questions into accurate SQL-plus real-world accuracy stats, tool comparisons, and implementation tips.

2026-03-17T06:08:39+00:002026-03-17T06:08:39+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Domain-Specialized Large Language Models: Code, Math, and Medicine

Domain-specialized LLMs like CodeLlama, Med-PaLM 2, and MathGLM are outperforming general AI models in code, math, and medicine - with higher accuracy, lower costs, and real-world impact.

2026-03-15T06:02:59+00:002026-03-15T06:02:59+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Autoscaling Large Language Model Services: Policies, Signals, and Costs

Autoscaling LLM services requires specialized metrics like prefill queue size and slots_used-not CPU or GPU usage. Learn how to balance cost and latency with real-world policies for chatbots, batch jobs, and real-time apps.

2026-03-13T06:06:29+00:002026-03-13T06:06:29+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Multilingual RAG for Large Language Models: Overcoming Cross-Language Retrieval Challenges

Multilingual RAG lets LLMs answer questions across languages using external data-but hidden biases favor English. Learn how cross-language retrieval fails, why translation alone isn’t enough, and what new frameworks like DKM-RAG are doing to fix it.

2026-03-11T05:55:11+00:002026-03-11T05:55:11+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Vision-Language Applications with Multimodal Large Language Models

Vision-language models now combine image and text understanding in real-time, transforming document processing, healthcare, and robotics. Open-source models like GLM-4.6V are outperforming proprietary systems in key areas, despite high compute costs and hallucination risks.

2026-03-07T06:08:19+00:002026-03-07T06:08:19+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Token Budgets and Quotas: How to Stop LLM Cost Overruns Before They Happen

Token budgets and quotas are the only way to prevent runaway LLM costs. Learn how to set limits on token usage, apply graduated throttling, and avoid expensive mistakes before they happen.

2026-03-06T05:54:21+00:002026-03-06T05:54:21+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/How Large Language Models Use Probabilities to Choose Words and Phrases

Large language models generate text by calculating the probability of each next word based on patterns learned from massive datasets. This article explains how they use probabilities, decoding strategies like top-p and temperature, and why they sometimes make mistakes - even when they sound convincing.

2026-03-05T05:57:25+00:002026-03-05T05:57:25+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/How to Set Realistic Expectations for Vibe Coding on Enterprise Projects

Vibe coding isn't magic - it's a new way to build software using AI as a proactive team member. Learn how to set realistic expectations, write clear specs, and avoid common enterprise pitfalls that derail adoption.

2026-03-04T05:55:15+00:002026-03-04T05:55:15+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Why Tokenization Still Matters in the Age of Large Language Models

Tokenization remains critical in the age of large language models, impacting cost, accuracy, and efficiency. Learn why subword tokenization, vocabulary size, and domain-specific tuning still make or break LLM performance.

2026-03-03T05:50:03+00:002026-03-03T05:50:03+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Continuous Improvement Loops: How Feedback, Retraining, and Prompt Updates Keep AI Models Accurate

Continuous improvement loops keep AI models accurate by using real-world feedback, automated retraining, and prompt updates. Without them, models degrade quickly. Here’s how to build one that actually works.

2026-03-02T06:10:45+00:002026-03-02T06:10:45+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Abstention Policies for Generative AI: When the Model Should Say It Does Not Know

Generative AI often invents answers instead of admitting ignorance. Learn how abstention policies teach models to say 'I don't know'-and why that’s the key to trustworthy AI.

2026-03-01T06:08:11+00:002026-03-01T06:08:11+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Teaching with Vibe Coding: Learn Software Architecture by Inspecting AI-Generated Code

Learn software architecture by inspecting AI-generated code instead of writing it first. Vibe coding flips traditional programming education, helping students understand system design before syntax. Used by Google, Amazon, and top bootcamps.

2026-02-28T06:02:32+00:002026-02-28T06:02:32+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Data Collection and Cleaning for Large Language Model Pretraining at Web Scale

Training large language models requires cleaning hundreds of terabytes of web data. Discover how top teams filter, deduplicate, and curate data to boost performance - and why quality matters more than quantity.

2026-02-27T06:03:45+00:002026-02-27T06:03:45+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Media and Publishing with Generative AI: Headline Variants and Editorial Tools

Generative AI is transforming headlines and editorial workflows in media publishing by 2026, but success depends on human oversight, trust-based metrics, and fair compensation for content creators.

2026-02-26T06:05:33+00:002026-02-26T06:05:33+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Change Management for Vibe Coding: Training, Tools, and Incentives

Vibe coding transforms software development by replacing traditional coding with AI-driven conversation. This article breaks down the training, tools, and incentives needed to make it work in real teams - not just as a hack, but as a sustainable practice.

2026-02-24T06:02:06+00:002026-02-24T06:02:06+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Grounded Web Browsing for LLM Agents: How Search and Source Handling Power Real-World AI Tasks

Grounded web browsing lets AI agents search live websites to answer questions accurately. It's transforming customer support, e-commerce, and research by replacing guesswork with verified, real-time data.

2026-02-23T05:58:10+00:002026-02-23T05:58:10+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Proof-of-Concept Machine Learning Apps Built with Vibe Coding

Vibe coding lets anyone build machine learning apps in hours, not weeks. No coding experience needed. Learn how real people are using AI tools like Cursor and Lovable to create functional prototypes - and what you need to know to avoid the pitfalls.

2026-02-22T06:13:38+00:002026-02-22T06:13:38+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Data Classification Rules for Vibe Coding Inputs and Outputs

Data classification in vibe coding ensures AI-generated code handles sensitive data safely. Without clear rules for Critical, High, Medium, and Low data, companies risk leaks of PII, API keys, and service credentials. Learn how to enforce security at every step.

2026-02-21T06:07:29+00:002026-02-21T06:07:29+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Talent Markets in the Vibe Coding Era: Skills Employers Actually Reward

In the vibe coding era, employers reward developers who think like conductors, not typists. Learn the top five skills that actually get you hired - and what’s fading fast in AI-assisted development by 2026.

2026-02-20T06:02:41+00:002026-02-20T06:02:41+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Y Combinator Startups and Vibe Coding: What 91% AI-Generated Codebases Really Mean

Y Combinator's Winter 2025 startups showed 91% AI-generated codebases using vibe coding-a trend that’s fast, risky, and unsustainable without human oversight. Here’s what actually works-and what’s about to break.

2026-02-19T05:59:05+00:002026-02-19T05:59:05+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Architectural Considerations and Technical Decision-Making in AI-Assisted Development

AI is transforming how architects and developers make critical design decisions, from optimizing building layouts to detecting software antipatterns. Learn how generative design, BIM integration, and parametric modeling are reshaping both physical and digital architecture.

2026-02-18T05:51:41+00:002026-02-18T05:51:41+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/How to Build a Coding Center of Excellence: Charter, Staffing, and Real Goals

A Coding Center of Excellence isn’t about enforcing rules - it’s about giving teams tools, templates, and consistency to ship faster and break less. Learn how to build one with the right charter, staffing, and measurable goals.

2026-02-17T05:56:33+00:002026-02-17T05:56:33+00:00Software ArchitectureTess Rempelhttps://scc-comets.com/author/tess-rempel/Measuring Code Quality in AI-Heavy Repos: Beyond Lines of Code

Traditional code quality metrics like lines of code are broken in AI-heavy repos. Learn what actually matters: code churn, review depth, and developer experience.

2026-02-16T06:01:20+00:002026-02-16T06:01:20+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Practical Applications of Generative AI Across Industries and Business Functions in 2025

Generative AI is transforming healthcare, finance, manufacturing, and customer service in 2025 with real-world results-cutting costs, speeding up workflows, and improving accuracy. Learn how top companies are using it-and where it still falls short.

2026-02-15T06:05:19+00:002026-02-15T06:05:19+00:00Artificial IntelligenceTess Rempelhttps://scc-comets.com/author/tess-rempel/Team Size Compression: How Smaller Teams Deliver More Without Burning Out

Smaller teams can deliver more by cutting waste, not people. Learn how compressing your team to 60% of its size boosts speed, reduces burnout, and unlocks real productivity.

2026-02-14T06:00:26+00:002026-02-14T06:00:26+00:00Software ArchitectureTess Rempelhttps://scc-comets.com/author/tess-rempel/