<?xml version="1.0" encoding="UTF-8" ?><feed xmlns="http://www.w3.org/2005/Atom"><title>SCC Comets</title><link href="https://scc-comets.com/"/><updated>2026-08-16T05:58:42+00:00</updated><id>https://scc-comets.com/</id><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author><entry><title>LLM Versioning and Rollback Strategies for Production Weights</title><link href="https://scc-comets.com/llm-versioning-and-rollback-strategies-for-production-weights"/><summary>Learn how to implement robust versioning and rollback strategies for LLM weights. Covers DVC, W&amp;B, and CI/CD integration to ensure safe, auditable AI deployments.</summary><updated>2026-08-16T05:58:42+00:00</updated><published>2026-08-16T05:58:42+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Secure Development for Generative AI: Secrets, Logging, and Red-Teaming</title><link href="https://scc-comets.com/secure-development-for-generative-ai-secrets-logging-and-red-teaming"/><summary>Learn how to secure Generative AI apps by mastering secrets management, implementing smart logging, and conducting effective red-teaming to prevent prompt injection and data leaks.</summary><updated>2026-08-15T06:01:28+00:00</updated><published>2026-08-15T06:01:28+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Vendor Risk Assessments for AI Coding Platforms: A Complete Guide</title><link href="https://scc-comets.com/vendor-risk-assessments-for-ai-coding-platforms-a-complete-guide"/><summary>Learn how to conduct vendor risk assessments for AI coding platforms. This guide covers FSISAC frameworks, key metrics, and comparisons of top tools like Copilot and CodeWhisperer.</summary><updated>2026-08-14T05:51:40+00:00</updated><published>2026-08-14T05:51:40+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Production LLM Infrastructure: Hardware, Scaling, and Cost Strategies for 2026</title><link href="https://scc-comets.com/production-llm-infrastructure-hardware-scaling-and-cost-strategies-for"/><summary>A comprehensive guide to building production-ready infrastructure for Large Language Models, covering GPU selection, memory optimization, storage tiering, and cost-effective deployment strategies for 2026.</summary><updated>2026-08-13T05:55:59+00:00</updated><published>2026-08-13T05:55:59+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Total Cost of Ownership Models for Scaling Large Language Models</title><link href="https://scc-comets.com/total-cost-of-ownership-models-for-scaling-large-language-models"/><summary>Discover the real costs behind scaling Large Language Models. We break down Total Cost of Ownership (TCO) models, comparing training, fine-tuning, and API usage to help you budget accurately.</summary><updated>2026-08-12T05:51:58+00:00</updated><published>2026-08-12T05:51:58+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>GitHub Copilot in Vibe Coding: Strengths, Limits, and Workarounds</title><link href="https://scc-comets.com/github-copilot-in-vibe-coding-strengths-limits-and-workarounds"/><summary>Explore how GitHub Copilot enables vibe coding, its strengths in rapid prototyping, limitations in maintenance and cost, and practical workarounds for effective AI-assisted development.</summary><updated>2026-08-11T05:51:54+00:00</updated><published>2026-08-11T05:51:54+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How to Review AI-Generated Code Without Reading Every Line: A Practical Guide for 2026</title><link href="https://scc-comets.com/how-to-review-ai-generated-code-without-reading-every-line-a-practical-guide-for"/><summary>Learn how to review AI-generated code efficiently without reading every line. Discover decision review, risk-based strategies, and evidence-based validation techniques for vibe coding workflows.</summary><updated>2026-08-10T05:56:59+00:00</updated><published>2026-08-10T05:56:59+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Post-Training Evaluation Gates: A Checklist for Shipping Safe LLMs</title><link href="https://scc-comets.com/post-training-evaluation-gates-a-checklist-for-shipping-safe-llms"/><summary>Learn how to implement post-training evaluation gates to prevent catastrophic forgetting and ensure LLM safety before deployment. Includes frameworks from OpenAI, Meta, and Google.</summary><updated>2026-08-09T05:53:27+00:00</updated><published>2026-08-09T05:53:27+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Persona Calibration in Generative AI: How to Keep Consistency Across Sessions and Channels</title><link href="https://scc-comets.com/persona-calibration-in-generative-ai-how-to-keep-consistency-across-sessions-and-channels"/><summary>Learn how to master persona calibration in generative AI. Discover techniques to prevent persona drift and ensure consistent AI behavior across sessions and channels.</summary><updated>2026-08-08T05:50:03+00:00</updated><published>2026-08-08T05:50:03+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Confidential Computing for LLM Inference: TEEs and Encryption-in-Use</title><link href="https://scc-comets.com/confidential-computing-for-llm-inference-tees-and-encryption-in-use"/><summary>Learn how confidential computing and TEEs protect LLM inference data in use. Explore encryption-in-use benefits, hardware options like NVIDIA H100, and cloud implementations for secure AI.</summary><updated>2026-08-07T06:03:09+00:00</updated><published>2026-08-07T06:03:09+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Access Control and Authentication Patterns for LLM Services: A Security Guide</title><link href="https://scc-comets.com/access-control-and-authentication-patterns-for-llm-services-a-security-guide"/><summary>Explore essential access control and authentication patterns for securing LLM services. Learn how to implement OAuth2, JWT, and PBAC to protect against prompt injection and unauthorized data access.</summary><updated>2026-08-06T06:04:25+00:00</updated><published>2026-08-06T06:04:25+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Function Calling with LLMs: How to Connect AI to External APIs in 2026</title><link href="https://scc-comets.com/function-calling-with-llms-how-to-connect-ai-to-external-apis-in"/><summary>Learn how function calling connects Large Language Models to external APIs for real-time data. Compare GPT-4, Claude, and Gemini implementations, avoid common pitfalls, and secure your enterprise AI apps.</summary><updated>2026-08-05T06:00:43+00:00</updated><published>2026-08-05T06:00:43+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>LLM-as-a-Judge Guide: How to Use AI Models to Evaluate Other LLMs</title><link href="https://scc-comets.com/llm-as-a-judge-guide-how-to-use-ai-models-to-evaluate-other-llms"/><summary>Learn how LLM-as-a-Judge methods work to evaluate AI models. We cover key metrics, top tools like OpenAI Evals and DeepEval, and how to avoid bias in 2026.</summary><updated>2026-08-04T07:58:07+00:00</updated><published>2026-08-04T07:58:07+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How Reasoning-Enhanced LLMs Are Revolutionizing Scientific Discovery</title><link href="https://scc-comets.com/how-reasoning-enhanced-llms-are-revolutionizing-scientific-discovery"/><summary>Discover how reasoning-enhanced LLMs like MPPReasoner are transforming scientific discovery by generating hypotheses, designing experiments, and solving complex problems with logical precision.</summary><updated>2026-08-03T05:58:16+00:00</updated><published>2026-08-03T05:58:16+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Prompt-to-Response Latency in LLMs: What Actually Happens During Inference</title><link href="https://scc-comets.com/prompt-to-response-latency-in-llms-what-actually-happens-during-inference"/><summary>Explore the mechanics behind LLM latency, including TTFT and ITL metrics. Learn how hardware, prompt length, and architecture impact response times and discover practical optimization strategies.</summary><updated>2026-08-02T05:58:27+00:00</updated><published>2026-08-02T05:58:27+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How Domain-Specific LLM Agents Automate Ticket Resolution in 2026</title><link href="https://scc-comets.com/how-domain-specific-llm-agents-automate-ticket-resolution-in"/><summary>Discover how domain-specific LLM agents automate ticket resolution with 95% accuracy. Learn about implementation challenges, real-world performance data, and future trends in AI-driven IT service management.</summary><updated>2026-08-01T05:57:23+00:00</updated><published>2026-08-01T05:57:23+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How to Manage LLM Prompt Retention and Deletion Policies for Compliance</title><link href="https://scc-comets.com/how-to-manage-llm-prompt-retention-and-deletion-policies-for-compliance"/><summary>Learn how to manage LLM prompt retention and deletion policies for compliance. Discover strategies for GDPR, secure erasure, and handling multi-cloud AI logs effectively.</summary><updated>2026-07-31T06:00:40+00:00</updated><published>2026-07-31T06:00:40+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Data Privacy and Compliance Pitfalls for Non-Technical Vibe Coders</title><link href="https://scc-comets.com/data-privacy-and-compliance-pitfalls-for-non-technical-vibe-coders"/><summary>Non-technical vibe coders face unique data privacy risks due to overlooked security fundamentals. Learn how to avoid costly GDPR and HIPAA violations in low-code apps.</summary><updated>2026-07-30T05:58:13+00:00</updated><published>2026-07-30T05:58:13+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How Diffusion Models Create Photorealistic Images: The Noise Removal Process Explained</title><link href="https://scc-comets.com/how-diffusion-models-create-photorealistic-images-the-noise-removal-process-explained"/><summary>Discover how diffusion models create photorealistic AI images by removing noise. Learn the science behind DDPM, compare with GANs, and understand latent space technology.</summary><updated>2026-07-29T05:57:43+00:00</updated><published>2026-07-29T05:57:43+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Scaling Generative AI: From Proof of Concept to Production Without Surprises</title><link href="https://scc-comets.com/scaling-generative-ai-from-proof-of-concept-to-production-without-surprises"/><summary>Learn how to scale generative AI from proof of concept to production. Avoid common pitfalls like security gaps and hallucinations with this strategic guide to enterprise AI deployment.</summary><updated>2026-07-28T05:59:00+00:00</updated><published>2026-07-28T05:59:00+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Enterprise-Grade RAG Architectures: A Practical Guide for 2026</title><link href="https://scc-comets.com/enterprise-grade-rag-architectures-a-practical-guide-for"/><summary>Explore enterprise-grade RAG architectures for 2026. Learn how to choose between centralized and federated designs, select vector databases, and ensure security compliance for LLM applications.</summary><updated>2026-07-27T05:56:50+00:00</updated><published>2026-07-27T05:56:50+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Error-Forward Debugging: How to Feed Stack Traces to LLMs for Fast Fixes</title><link href="https://scc-comets.com/error-forward-debugging-how-to-feed-stack-traces-to-llms-for-fast-fixes"/><summary>Learn how error-forward debugging uses LLMs to analyze stack traces for faster fixes. Discover setup steps, performance gains, privacy risks, and best practices for AI-assisted debugging in 2026.</summary><updated>2026-07-26T05:50:03+00:00</updated><published>2026-07-26T05:50:03+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Disaster Recovery for Large Language Model Infrastructure: Backups and Failover Strategies</title><link href="https://scc-comets.com/disaster-recovery-for-large-language-model-infrastructure-backups-and-failover-strategies"/><summary>Learn how to protect your AI investments with robust disaster recovery strategies for Large Language Models. Covers backups, failover architectures, and cloud-specific tips.</summary><updated>2026-07-25T05:55:07+00:00</updated><published>2026-07-25T05:55:07+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Hybrid API and Self-Hosted Strategies to Balance LLM Costs and Control</title><link href="https://scc-comets.com/hybrid-api-and-self-hosted-strategies-to-balance-llm-costs-and-control"/><summary>Explore how hybrid LLM strategies balance cost and control by routing simple tasks to self-hosted models and complex ones to APIs. Learn when to switch, technical requirements, and cost-saving thresholds.</summary><updated>2026-07-24T05:52:40+00:00</updated><published>2026-07-24T05:52:40+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Bias in Large Language Models: Sources, Measurement, and Mitigation</title><link href="https://scc-comets.com/bias-in-large-language-models-sources-measurement-and-mitigation"/><summary>Explore sources, measurement methods, and mitigation strategies for bias in large language models. Learn how training data gaps, algorithmic design, and human feedback create systematic distortions in AI outputs.</summary><updated>2026-07-23T05:55:51+00:00</updated><published>2026-07-23T05:55:51+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Sales Enablement with Generative AI: Streamlining Proposals, CRM Notes, and Personalization</title><link href="https://scc-comets.com/sales-enablement-with-generative-ai-streamlining-proposals-crm-notes-and-personalization"/><summary>Discover how generative AI transforms sales enablement by automating proposal drafting, CRM notes, and hyper-personalization. Learn implementation strategies, ROI metrics, and pitfalls to avoid in 2026.</summary><updated>2026-07-22T06:01:37+00:00</updated><published>2026-07-22T06:01:37+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How Non-Developers Use Vibe Coding to Launch Real Applications in 2026</title><link href="https://scc-comets.com/how-non-developers-use-vibe-coding-to-launch-real-applications-in"/><summary>Learn how non-developers are using vibe coding to launch real applications quickly and affordably. Discover top platforms, step-by-step guides, and pitfalls to avoid in 2026.</summary><updated>2026-07-21T06:02:10+00:00</updated><published>2026-07-21T06:02:10+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Tempo Labs vs Base44: Which Vibe Coding Platform Wins in 2026?</title><link href="https://scc-comets.com/tempo-labs-vs-base44-which-vibe-coding-platform-wins-in"/><summary>Compare Base44 and Tempo Labs, the top vibe coding platforms of 2026. We break down features, pricing, and use cases to help you choose the right AI builder for your team.</summary><updated>2026-07-20T06:54:06+00:00</updated><published>2026-07-20T06:54:06+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>AI Code Regulations 2026: EU AI Act, US State Laws &amp; Compliance Guide</title><link href="https://scc-comets.com/ai-code-regulations-2026-eu-ai-act-us-state-laws-compliance-guide"/><summary>Navigate the 2026 AI code regulations. Learn about the EU AI Act's August deadline, US state laws in CA, CO, NY, and how to comply with NIST standards.</summary><updated>2026-07-19T05:55:46+00:00</updated><published>2026-07-19T05:55:46+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate</title><link href="https://scc-comets.com/reasoning-in-large-language-models-chain-of-thought-self-consistency-and-debate"/><summary>Explore how Chain-of-Thought, Self-Consistency, and AI Debate transform LLMs from pattern matchers into reliable reasoning partners. Learn technical specs, trade-offs, and real-world benchmarks.</summary><updated>2026-07-18T05:53:51+00:00</updated><published>2026-07-18T05:53:51+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Task-Specific Fine-Tuning vs Instruction Tuning: Choosing the Right LLM Strategy</title><link href="https://scc-comets.com/task-specific-fine-tuning-vs-instruction-tuning-choosing-the-right-llm-strategy-1"/><summary>Compare instruction tuning vs task-specific fine-tuning for LLMs. Learn which strategy fits your project, understand the risks of catastrophic forgetting, and see how LoRA changes the game in 2026.</summary><updated>2026-07-17T05:56:25+00:00</updated><published>2026-07-17T05:56:25+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Task-Specific Fine-Tuning vs Instruction Tuning: Choosing the Right LLM Strategy</title><link href="https://scc-comets.com/task-specific-fine-tuning-vs-instruction-tuning-choosing-the-right-llm-strategy"/><summary>Compare instruction tuning vs task-specific fine-tuning for LLMs. Learn which strategy fits your project, costs, and performance needs based on 2026 industry data.</summary><updated>2026-07-17T05:56:25+00:00</updated><published>2026-07-17T05:56:25+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How to Secure LLMs: Access Controls and Audit Trails for Sensitive Data</title><link href="https://scc-comets.com/how-to-secure-llms-access-controls-and-audit-trails-for-sensitive-data"/><summary>Learn how to secure sensitive LLM interactions with robust access controls and immutable audit trails. Covers compliance, implementation tips, and cloud provider comparisons for 2026.</summary><updated>2026-07-16T06:06:35+00:00</updated><published>2026-07-16T06:06:35+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How Generative AI is Rewriting Protein Design and Life Sciences Research in 2026</title><link href="https://scc-comets.com/how-generative-ai-is-rewriting-protein-design-and-life-sciences-research-in"/><summary>Explore how generative AI tools like BoltzGen and RFdiffusion are transforming protein design in 2026. Learn about architectures, real-world applications, and biosecurity risks.</summary><updated>2026-07-15T06:01:50+00:00</updated><published>2026-07-15T06:01:50+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Cursor vs Replit vs Lovable vs Copilot: The Ultimate Vibe Coding Comparison (2026)</title><link href="https://scc-comets.com/cursor-vs-replit-vs-lovable-vs-copilot-the-ultimate-vibe-coding-comparison"/><summary>Compare Cursor, Replit, Lovable, and GitHub Copilot for vibe coding. Find out which AI toolchain fits your workflow, budget, and skill level in 2026.</summary><updated>2026-07-14T06:07:48+00:00</updated><published>2026-07-14T06:07:48+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Clean Architecture in Vibe-Coded Projects: How to Keep Frameworks at the Edges</title><link href="https://scc-comets.com/clean-architecture-in-vibe-coded-projects-how-to-keep-frameworks-at-the-edges"/><summary>Learn how to apply Clean Architecture principles to vibe-coded projects. Discover how to use tools like Sheriff to keep frameworks at the edges, prevent AI-induced technical debt, and ensure long-term maintainability.</summary><updated>2026-07-13T06:08:17+00:00</updated><published>2026-07-13T06:08:17+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Vision-Language Transformers: How Unified Models Bridge Images and Text</title><link href="https://scc-comets.com/vision-language-transformers-how-unified-models-bridge-images-and-text"/><summary>Discover how Vision-Language Transformers unify images and text in a single architecture. Learn about VLM benefits, bidirectional generation, and real-world AI applications.</summary><updated>2026-07-12T06:09:09+00:00</updated><published>2026-07-12T06:09:09+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Few-Shot Prompting Strategies: Boost LLM Accuracy Without Fine-Tuning</title><link href="https://scc-comets.com/few-shot-prompting-strategies-boost-llm-accuracy-without-fine-tuning"/><summary>Learn how few-shot prompting boosts LLM accuracy by 15-40% without fine-tuning. Discover strategies to avoid over-prompting, select the best examples, and combine techniques for consistent results.</summary><updated>2026-07-11T06:16:36+00:00</updated><published>2026-07-11T06:16:36+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Tokenization in Generative AI: How BPE and WordPiece Shape Model Performance</title><link href="https://scc-comets.com/tokenization-in-generative-ai-how-bpe-and-wordpiece-shape-model-performance"/><summary>Explore how tokenization powers Generative AI. Learn the differences between Byte Pair Encoding and WordPiece, and discover how token choice impacts model cost, speed, and accuracy.</summary><updated>2026-07-10T06:07:42+00:00</updated><published>2026-07-10T06:07:42+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Backlog Hygiene for Vibe Coding: Managing Defects, Debt, and Enhancements</title><link href="https://scc-comets.com/backlog-hygiene-for-vibe-coding-managing-defects-debt-and-enhancements"/><summary>Learn how to maintain backlog hygiene in vibe coding. Manage defects, technical debt, and enhancements with AI to ship faster without breaking your codebase.</summary><updated>2026-07-09T06:56:02+00:00</updated><published>2026-07-09T06:56:02+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Deduplication Strategies for LLM Training Data: Exact, Fuzzy, and Semantic</title><link href="https://scc-comets.com/deduplication-strategies-for-llm-training-data-exact-fuzzy-and-semantic"/><summary>Learn how exact, fuzzy, and semantic deduplication strategies clean LLM training data. Discover practical pipelines, MinHash LSH techniques, and SoftDedup reweighting to boost model accuracy and efficiency.</summary><updated>2026-07-08T06:21:20+00:00</updated><published>2026-07-08T06:21:20+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Global AI Regulation in 2026: Navigating EU, US, and China Rules</title><link href="https://scc-comets.com/global-ai-regulation-in-2026-navigating-eu-us-and-china-rules"/><summary>Navigate the complex world of global AI regulation in 2026. Compare EU, US, and China rules, understand sovereignty challenges, and learn practical steps for compliance.</summary><updated>2026-07-07T05:59:24+00:00</updated><published>2026-07-07T05:59:24+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>LLMOps for Generative AI: Building Robust Pipelines, Observability, and Drift Management</title><link href="https://scc-comets.com/llmops-for-generative-ai-building-robust-pipelines-observability-and-drift-management"/><summary>Master LLMOps for generative AI with practical guides on building resilient pipelines, implementing deep observability, and managing model drift. Learn how to control costs and ensure reliability in production.</summary><updated>2026-07-06T06:19:09+00:00</updated><published>2026-07-06T06:19:09+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Vibe Coding Templates: Governance, Security, and Pre-Approved Dependencies</title><link href="https://scc-comets.com/vibe-coding-templates-governance-security-and-pre-approved-dependencies"/><summary>Explore how template repositories with pre-approved dependencies bring governance and security to vibe coding. Learn to manage AI assistants effectively.</summary><updated>2026-07-05T05:56:35+00:00</updated><published>2026-07-05T05:56:35+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions</title><link href="https://scc-comets.com/supply-chain-optimization-with-generative-ai-demand-forecast-narratives-and-exceptions"/><summary>Discover how Generative AI transforms supply chain optimization by creating demand forecast narratives and handling exceptions. Learn about accuracy gains, implementation challenges, and the shift from reactive to proactive planning.</summary><updated>2026-07-04T06:08:47+00:00</updated><published>2026-07-04T06:08:47+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>How to Build Human-in-the-Loop Evaluation Pipelines for LLMs</title><link href="https://scc-comets.com/how-to-build-human-in-the-loop-evaluation-pipelines-for-llms"/><summary>Learn how to build Human-in-the-Loop evaluation pipelines for LLMs. Discover tiered architectures, uncertainty sampling, and best practices for combining AI speed with human nuance to ensure model quality and safety.</summary><updated>2026-07-03T07:02:41+00:00</updated><published>2026-07-03T07:02:41+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Architecture-Aware Prompting: How to Guide AI for Better Software Designs</title><link href="https://scc-comets.com/architecture-aware-prompting-how-to-guide-ai-for-better-software-designs"/><summary>Learn how architecture-aware prompting uses deep context to guide AI in creating robust, constraint-compliant software designs, avoiding common pitfalls of generic AI advice.</summary><updated>2026-07-02T05:58:09+00:00</updated><published>2026-07-02T05:58:09+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Vibe Coding for IoT Demos: Simulating Devices and Building Cloud Dashboards Fast</title><link href="https://scc-comets.com/vibe-coding-for-iot-demos-simulating-devices-and-building-cloud-dashboards-fast"/><summary>Learn how vibe coding transforms IoT demos by enabling rapid device simulation and cloud dashboard creation using AI. Discover best practices, security risks, and tools for 2026.</summary><updated>2026-07-01T06:25:00+00:00</updated><published>2026-07-01T06:25:00+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Incident Management for LLM Failures: A Practical Guide to Handling AI Incidents</title><link href="https://scc-comets.com/incident-management-for-llm-failures-a-practical-guide-to-handling-ai-incidents"/><summary>Learn how to build robust incident management strategies for LLM failures, including handling hallucinations, prompt injections, and safety violations with practical frameworks.</summary><updated>2026-06-30T05:55:47+00:00</updated><published>2026-06-30T05:55:47+00:00</published><category>Artificial Intelligence</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Automated Architecture Lints: Enforcing Boundaries in Vibe-Coded Apps</title><link href="https://scc-comets.com/automated-architecture-lints-enforcing-boundaries-in-vibe-coded-apps"/><summary>Learn how automated architecture lints enforce boundaries in vibe-coded apps, preventing technical debt and maintaining structural integrity in AI-generated software.</summary><updated>2026-06-29T06:01:55+00:00</updated><published>2026-06-29T06:01:55+00:00</published><category>Software Architecture</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry></feed>