<?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>2026-09-25T05:59:01+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>Secure Branch Protection for Vibe-Coded Repositories</title><link href="https://scc-comets.com/secure-branch-protection-for-vibe-coded-repositories"/><summary>Learn how to secure vibe-coded repositories with robust branch protection strategies. Discover why AI-generated code needs stricter SAST, SCA, and supply chain controls.</summary><updated>2026-09-25T05:59:01+00:00</updated><published>2026-09-25T05:59:01+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Cost-Performance Tuning for Open-Source LLM Inference: A Practical Guide</title><link href="https://scc-comets.com/cost-performance-tuning-for-open-source-llm-inference-a-practical-guide"/><summary>Cut open-source LLM inference costs by 70-90% with practical tuning tips. Learn how quantization, continuous batching, and multi-LoRA serving boost performance without breaking your budget.</summary><updated>2026-09-24T05:59:40+00:00</updated><published>2026-09-24T05:59:40+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>Vibe Coding vs AI Pair Programming: A Developer's Guide to Choosing the Right Workflow</title><link href="https://scc-comets.com/vibe-coding-vs-ai-pair-programming-a-developer-s-guide-to-choosing-the-right-workflow"/><summary>Discover the difference between vibe coding and AI pair programming. Learn when to use rapid AI prompting versus structured collaborative workflows to boost developer productivity and code security.</summary><updated>2026-09-23T06:01:47+00:00</updated><published>2026-09-23T06:01:47+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>Autonomous Agents Built on Large Language Models: Capabilities and Limits</title><link href="https://scc-comets.com/autonomous-agents-built-on-large-language-models-capabilities-and-limits"/><summary>Discover the real capabilities and limits of autonomous agents built on LLMs in 2026. Learn what they can do today, where they fail, and how to deploy them effectively.</summary><updated>2026-09-22T06:01:02+00:00</updated><published>2026-09-22T06:01:02+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>Structured vs. Unstructured Pruning: Making LLMs Efficient</title><link href="https://scc-comets.com/structured-vs.-unstructured-pruning-making-llms-efficient"/><summary>Learn how structured and unstructured pruning differ in compressing Large Language Models. Discover when to use methods like Wanda or FASP for optimal efficiency.</summary><updated>2026-09-21T06:00:23+00:00</updated><published>2026-09-21T06:00:23+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>Model Customization: Why Open-Source LLMs Beat APIs for Fine Control</title><link href="https://scc-comets.com/model-customization-why-open-source-llms-beat-apis-for-fine-control"/><summary>Discover why open-source LLMs offer superior control over commercial APIs. Learn how fine-tuning, LoRA, and RAG enable precise customization for niche business needs.</summary><updated>2026-09-20T06:01:28+00:00</updated><published>2026-09-20T06:01:28+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>Pilot-to-Scale in Generative AI: KPI Baselines and Post-Launch Reviews</title><link href="https://scc-comets.com/pilot-to-scale-in-generative-ai-kpi-baselines-and-post-launch-reviews"/><summary>Stop guessing if your AI pilot is ready for scale. Learn how to set strict KPI baselines, conduct rigorous post-launch reviews, and avoid the 78% failure rate of enterprise AI projects.</summary><updated>2026-09-19T06:02:57+00:00</updated><published>2026-09-19T06:02:57+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>Token-Level Logging Minimization: Securing LLM Privacy</title><link href="https://scc-comets.com/token-level-logging-minimization-securing-llm-privacy"/><summary>Discover how token-level logging minimization protects LLM privacy by scrubbing PII at the source. Learn implementation strategies, performance impacts, and regulatory benefits.</summary><updated>2026-09-18T05:50:03+00:00</updated><published>2026-09-18T05:50:03+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>Scaling Laws for LLMs: A Practitioner's Guide to Compute-Optimal Training</title><link href="https://scc-comets.com/scaling-laws-for-llms-a-practitioner-s-guide-to-compute-optimal-training"/><summary>Discover how LLM scaling laws guide compute-optimal training. Learn why Chinchilla scaling favors balanced data and parameters, and how data quality impacts performance.</summary><updated>2026-09-17T06:02:02+00:00</updated><published>2026-09-17T06:02:02+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>Cross-Functional Committees for Ethical Large Language Model Use</title><link href="https://scc-comets.com/cross-functional-committees-for-ethical-large-language-model-use"/><summary>Discover how cross-functional committees mitigate risks in Large Language Model deployment. Learn composition strategies, operational frameworks, and real-world benefits for ethical AI governance.</summary><updated>2026-09-16T05:52:52+00:00</updated><published>2026-09-16T05:52:52+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>Runtime Protections for Vibe-Coded Services: WAFs, RASP, and Rate Limits</title><link href="https://scc-comets.com/runtime-protections-for-vibe-coded-services-wafs-rasp-and-rate-limits"/><summary>Secure your AI-generated code with runtime protections. Learn how WAFs, RASP, and rate limiting defend vibe-coded services against common vulnerabilities.</summary><updated>2026-09-15T06:02:17+00:00</updated><published>2026-09-15T06:02:17+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>End-to-End LLM Training Pipeline: From Raw Data to Production</title><link href="https://scc-comets.com/end-to-end-llm-training-pipeline-from-raw-data-to-production"/><summary>Learn how to build a robust end-to-end training pipeline for Large Language Models. Discover key stages from data ingestion and preprocessing to distributed training, evaluation, and production deployment.</summary><updated>2026-09-14T06:04:36+00:00</updated><published>2026-09-14T06:04:36+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>Safe File Uploads in Vibe-Coded Web Apps: Validation and Storage Rules</title><link href="https://scc-comets.com/safe-file-uploads-in-vibe-coded-web-apps-validation-and-storage-rules"/><summary>Learn how to secure file uploads in vibe-coded web apps. Discover why AI-generated code fails at validation, how to prevent path traversal, and best practices for safe storage.</summary><updated>2026-09-13T06:01:06+00:00</updated><published>2026-09-13T06:01:06+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Real-Time Multimodal Assistants: How LLMs Process Text, Audio, and Video Instantly</title><link href="https://scc-comets.com/real-time-multimodal-assistants-how-llms-process-text-audio-and-video-instantly"/><summary>Discover how real-time multimodal assistants use Large Language Models to process text, audio, and video instantly. Learn about GPT-4o vs Gemini, latency benchmarks, and implementation challenges.</summary><updated>2026-09-11T05:55:14+00:00</updated><published>2026-09-11T05:55:14+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>Benchmarking Transformer Variants for Real-World LLM Workloads</title><link href="https://scc-comets.com/benchmarking-transformer-variants-for-real-world-llm-workloads"/><summary>Discover how to benchmark Transformer variants for real-world LLM workloads. Compare GPT-4, Gemini, and open-source models like Nemotron on speed, cost, and accuracy.</summary><updated>2026-09-10T05:54:27+00:00</updated><published>2026-09-10T05:54:27+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>Autonomous Coding Agents: Opportunities and Risks for Production Systems in 2026</title><link href="https://scc-comets.com/autonomous-coding-agents-opportunities-and-risks-for-production-systems-in"/><summary>Discover how autonomous coding agents like Devin boost development speed by 3-4x but introduce significant security risks. Learn strategies to manage AI code vulnerabilities.</summary><updated>2026-09-09T06:02:45+00:00</updated><published>2026-09-09T06:02:45+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>Generative AI Strategy for the Enterprise: Vision, Roadmap, and Operating Principles</title><link href="https://scc-comets.com/generative-ai-strategy-for-the-enterprise-vision-roadmap-and-operating-principles"/><summary>Move beyond pilot purgatory with a concrete generative AI strategy. Learn the five-phase roadmap, architectural choices like RAG, and governance principles that drive measurable ROI.</summary><updated>2026-09-08T06:03:42+00:00</updated><published>2026-09-08T06:03:42+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>Verification Inside Large Language Models: How Internal Checks Reduce Errors</title><link href="https://scc-comets.com/verification-inside-large-language-models-how-internal-checks-reduce-errors"/><summary>Discover how internal verification techniques like self-consistency and process supervision reduce LLM errors. Learn to implement internal checks for more reliable AI.</summary><updated>2026-09-07T05:59:38+00:00</updated><published>2026-09-07T05:59:38+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>System vs User Prompts in Generative AI: Structuring Instructions for Consistent Output</title><link href="https://scc-comets.com/system-vs-user-prompts-in-generative-ai-structuring-instructions-for-consistent-output"/><summary>Discover how system and user prompts shape AI behavior. Learn to structure instructions for consistent, reliable output in generative AI applications.</summary><updated>2026-09-06T05:59:45+00:00</updated><published>2026-09-06T05:59:45+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>Comparative Prompting: How to Ask AI for Options, Trade-Offs, and Recommendations</title><link href="https://scc-comets.com/comparative-prompting-how-to-ask-ai-for-options-trade-offs-and-recommendations"/><summary>Stop getting vague AI answers. Learn how comparative prompting forces AI to provide clear options, trade-offs, and tailored recommendations for better decision-making.</summary><updated>2026-09-05T06:04:35+00:00</updated><published>2026-09-05T06:04:35+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>Evaluation Benchmarks for Generative AI: MMLU, MMLU-Pro, and Image Fidelity</title><link href="https://scc-comets.com/evaluation-benchmarks-for-generative-ai-mmlu-mmlu-pro-and-image-fidelity"/><summary>Discover how generative AI evaluation is shifting from saturated MMLU scores to rigorous MMLU-Pro reasoning tests and specialized image fidelity metrics.</summary><updated>2026-09-04T06:02:35+00:00</updated><published>2026-09-04T06:02:35+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>Ethical Review Boards for Generative AI: Process, Criteria, and Outcomes</title><link href="https://scc-comets.com/ethical-review-boards-for-generative-ai-process-criteria-and-outcomes"/><summary>Discover how ethical review boards safeguard generative AI projects. Learn the process, criteria, and outcomes of responsible AI governance.</summary><updated>2026-09-03T06:08:21+00:00</updated><published>2026-09-03T06:08:21+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>Data Minimization Strategies for LLM Prompt Design</title><link href="https://scc-comets.com/data-minimization-strategies-for-llm-prompt-design"/><summary>Learn how to protect user privacy in LLMs by minimizing prompt data. Discover strategies like redaction and abstraction, and understand how model size affects utility.</summary><updated>2026-09-02T05:59:08+00:00</updated><published>2026-09-02T05:59:08+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>GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading</title><link href="https://scc-comets.com/gpu-selection-for-llm-inference-a100-vs-h100-vs-cpu-offloading"/><summary>Compare NVIDIA A100, H100, and CPU offloading for LLM inference. Discover cost-efficiency metrics, performance benchmarks, and implementation tips for 2026.</summary><updated>2026-09-01T06:04:06+00:00</updated><published>2026-09-01T06:04:06+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>Generative AI in Automotive: Design, Diagnostics, and Connected Experiences</title><link href="https://scc-comets.com/generative-ai-in-automotive-design-diagnostics-and-connected-experiences"/><summary>Discover how generative AI transforms automotive design, diagnostics, and connected experiences. Learn about workflow shifts, key vendors like NVIDIA and AWS, and implementation strategies for 2026.</summary><updated>2026-08-31T06:04:55+00:00</updated><published>2026-08-31T06:04:55+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>Modularizing AI Logic: How to Extract, Isolate, and Simplify for Maintainability</title><link href="https://scc-comets.com/modularizing-ai-logic-how-to-extract-isolate-and-simplify-for-maintainability"/><summary>Stop fighting brittle monolithic AI. Learn how to extract, isolate, and simplify AI logic using modular architectures for better maintainability, accuracy, and explainability.</summary><updated>2026-08-30T06:00:30+00:00</updated><published>2026-08-30T06:00:30+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>Benchmarking Cost per Correct Answer for LLM Reasoning Tasks</title><link href="https://scc-comets.com/benchmarking-cost-per-correct-answer-for-llm-reasoning-tasks"/><summary>Discover how to calculate and optimize cost per correct answer for LLM reasoning tasks. Learn why accuracy alone isn't enough and how token efficiency impacts your bottom line.</summary><updated>2026-08-29T05:58:52+00:00</updated><published>2026-08-29T05:58:52+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>Public Sector Generative AI Policies: Procurement, Transparency, and Accountability</title><link href="https://scc-comets.com/public-sector-generative-ai-policies-procurement-transparency-and-accountability"/><summary>Navigate the complex landscape of public sector generative AI policies. Learn how procurement, transparency, and accountability frameworks are evolving in 2026.</summary><updated>2026-08-28T06:06:30+00:00</updated><published>2026-08-28T06:06:30+00:00</published><category>Government Technology</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><entry><title>Open-Source Generative AI: Community Models, Governance &amp; Future Trends</title><link href="https://scc-comets.com/open-source-generative-ai-community-models-governance-future-trends"/><summary>Explore the rise of open-source generative AI, comparing top models like LLaMA 3 and Stable Diffusion. Learn how community governance shapes enterprise adoption and future trends in edge AI.</summary><updated>2026-08-27T05:52:52+00:00</updated><published>2026-08-27T05:52:52+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 for Non-Technical Professionals: A Beginner's Guide to Building Apps with AI</title><link href="https://scc-comets.com/vibe-coding-for-non-technical-professionals-a-beginner-s-guide-to-building-apps-with-ai"/><summary>Learn how to build apps without coding using vibe coding. Discover the best platforms, step-by-step processes, and tips for non-technical professionals.</summary><updated>2026-08-26T05:57:03+00:00</updated><published>2026-08-26T05:57:03+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>Hardware Trends Accelerating Vibe Coding: GPUs, NPUs, and Edge AI in 2026</title><link href="https://scc-comets.com/hardware-trends-accelerating-vibe-coding-gpus-npus-and-edge-ai-in"/><summary>Discover how GPUs, NPUs, and edge AI hardware are making vibe coding faster and more accessible. Learn which devices power local AI coding in 2026.</summary><updated>2026-08-25T05:57:19+00:00</updated><published>2026-08-25T05:57:19+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>Consistent Naming Conventions in AI-Generated Codebases: A Practical Guide</title><link href="https://scc-comets.com/consistent-naming-conventions-in-ai-generated-codebases-a-practical-guide"/><summary>Learn how to implement consistent naming conventions in AI-generated codebases to improve maintainability and reduce errors.</summary><updated>2026-08-24T06:01:37+00:00</updated><published>2026-08-24T06:01:37+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 Tokenizer Design Shapes LLM Performance and Efficiency</title><link href="https://scc-comets.com/how-tokenizer-design-shapes-llm-performance-and-efficiency"/><summary>Discover how tokenizer design choices like BPE, WordPiece, and vocabulary size directly impact LLM efficiency, memory usage, and accuracy. Learn practical tips for choosing the right setup.</summary><updated>2026-08-23T05:59:02+00:00</updated><published>2026-08-23T05:59:02+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>Retrieval-Augmented Generation: Fixing LLM Hallucinations with Real-Time Data</title><link href="https://scc-comets.com/retrieval-augmented-generation-fixing-llm-hallucinations-with-real-time-data"/><summary>Learn how Retrieval-Augmented Generation fixes LLM hallucinations by fetching real-time data. We cover RAG architecture, vector databases, and implementation tips for factual AI.</summary><updated>2026-08-22T06:04:39+00:00</updated><published>2026-08-22T06:04:39+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 Budgeting and Forecasting: A Strategic Guide for AI Programs</title><link href="https://scc-comets.com/llm-budgeting-and-forecasting-a-strategic-guide-for-ai-programs"/><summary>Learn how to budget and forecast costs for Large Language Model programs. Discover the four pillars of LLM spending, why traditional cloud tools fail, and phased contingency strategies to avoid costly overruns.</summary><updated>2026-08-21T06:01:06+00:00</updated><published>2026-08-21T06:01:06+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>Generative AI Model Releases: Versioning, Safety Cards, and Technical Reports</title><link href="https://scc-comets.com/generative-ai-model-releases-versioning-safety-cards-and-technical-reports"/><summary>Navigating the complex landscape of generative AI model releases requires understanding versioning strategies, safety cards, and technical reports. Learn how major providers manage lifecycles and how to build resilient applications.</summary><updated>2026-08-20T06:00:17+00:00</updated><published>2026-08-20T06:00:17+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>Prompting for Docs: How to Generate READMEs, ADRs, and Code Comments with AI</title><link href="https://scc-comets.com/prompting-for-docs-how-to-generate-readmes-adrs-and-code-comments-with-ai"/><summary>Learn how to use AI prompting to generate high-quality READMEs, ADRs, and code comments. Discover specific strategies to reduce documentation time and improve accuracy.</summary><updated>2026-08-19T05:52:39+00:00</updated><published>2026-08-19T05:52:39+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>Benchmarking Scaling Outcomes: Measuring Returns on Bigger LLMs</title><link href="https://scc-comets.com/benchmarking-scaling-outcomes-measuring-returns-on-bigger-llms"/><summary>Discover why bigger LLMs don't always mean better returns. Learn how to measure true ROI by balancing cost, latency, and real-world performance against flawed benchmark scores.</summary><updated>2026-08-18T05:53:55+00:00</updated><published>2026-08-18T05:53:55+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-Generated Code Security: Risks and Management Strategies</title><link href="https://scc-comets.com/ai-generated-code-security-risks-and-management-strategies"/><summary>Discover why AI-generated code poses unique security risks and learn practical strategies to manage vulnerabilities in your development workflow.</summary><updated>2026-08-17T06:15:51+00:00</updated><published>2026-08-17T06:15:51+00:00</published><category>Cybersecurity</category><author><name>Tess Rempel</name><uri>https://scc-comets.com/author/tess-rempel/</uri></author></entry><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></feed>