tech

AI, Code & E-commerce

Articles on AI automation, web development, Next.js, SEO, and scaling e-commerce businesses. 95 articles.

I write about the tools and systems I actually build with — from multi-agent AI pipelines and MCP servers to Next.js full-stack apps, Supabase backends, and SEO automation. Every article comes from a real project: shipping production code, scaling e-commerce stores, or wiring up AI agents that do useful work. If you're a developer, founder, or just curious about how modern web stacks fit together, you'll find practical walkthroughs, honest trade-offs, and working code examples here. Topics span AI and LLM integration, cloud infrastructure (Vercel, AWS, Docker), developer tooling, and the business side of building software products.

All95 AI58 Automation24 Dev Tools18 Next.js15 SEO12 Web Development10 Engineering9 Cloud5 E-commerce4 OpenClaw3 DevOps3

58 articles tagged AI

AI Agent Memory Poisoning Needs Full-Lifecycle Defenses

AIAI AgentsAI Security+3

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AI Agent Memory Poisoning Needs Full-Lifecycle Defenses

A research-backed architecture for preventing poisoned agent memory from surviving across sessions and influencing tool use.

Uygar DuzgunAug 2, 2026

17 min read

LLM Prompt Caching Economics: Measure Before You Buy GPUs

AILLM InfrastructurePrompt Caching+2

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LLM Prompt Caching Economics: Measure Before You Buy GPUs

Prompt caching can change cloud-versus-local LLM economics, but only when workloads reuse stable prefixes. Measure before you provision.

Uygar DuzgunJul 30, 2026

16 min read

AI Agent Sandbox Security: Design for the Whole Trajectory

AIAI AgentsAI Security+2

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AI Agent Sandbox Security: Design for the Whole Trajectory

A source-backed architecture for containing long-running AI agents across network, identity, tools, monitoring, and incident replay.

Uygar DuzgunJul 29, 2026

18 min read

Machine Unlearning: A Practical AI Data Removal Workflow

AIAI EngineeringPrivacy+2

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Machine Unlearning: A Practical AI Data Removal Workflow

A source-backed workflow for deleting AI data across retrieval, model edits, replicas, and audit evidence.

Uygar DuzgunJul 29, 2026

13 min read

EU AI Act Article 50: AI Content Label Checklist

AIEU AI ActAI Governance+3

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EU AI Act Article 50: AI Content Label Checklist

Article 50 requires more than a watermark. Providers must mark synthetic outputs, and deployers may still need visible labels and human-review evidence.

Uygar DuzgunJul 29, 2026

13 min read

LLM Confidence Score: Calibrate Before You Trust It

AILLM EvaluationConfidence Calibration+3

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LLM Confidence Score: Calibrate Before You Trust It

An LLM confidence score is not a universal probability. Compare verbal scores, logprobs, and sampling, then calibrate a safe threshold.

Uygar DuzgunJul 29, 2026

16 min read

AI Bill of Materials: Track What Actually Runs

AIAI EngineeringSupply Chain Security+2

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AI Bill of Materials: Track What Actually Runs

A practical build-time and runtime inventory for models, datasets, APIs, agent tools, and unresolved dependencies.

Uygar DuzgunJul 28, 2026

18 min read

The LLM Tokenizer Tax: How Language Changes AI Cost and Context

AILLM EvaluationMultilingual AI+2

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The LLM Tokenizer Tax: How Language Changes AI Cost and Context

A practical guide to measuring multilingual token costs, context limits, and model tradeoffs.

Uygar DuzgunJul 28, 2026

14 min read

AI-Generated Books Are Growing Faster Than Reader Demand

AIPublishingCreator Economy+2

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AI-Generated Books Are Growing Faster Than Reader Demand

A 14,419-book study finds AI-heavy fiction gaining sales share while revenue per title falls. The causal story is less certain.

Uygar DuzgunJul 28, 2026

19 min read

How to Use AI for Learning Without Outsourcing Your Thinking

AILearningStudy Mode+1

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How to Use AI for Learning Without Outsourcing Your Thinking

Two July studies point to the same practical rule: use AI to explain, question and test your work without letting it replace the attempt.

Uygar DuzgunJul 28, 2026

17 min read

KV Cache Eviction Can Hide LLM Failures in Production

AILLM InferenceKV Cache+1

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KV Cache Eviction Can Hide LLM Failures in Production

A research-backed test plan for separating cache-induced regressions from hard tasks before a faster inference configuration reaches production.

Uygar DuzgunJul 26, 2026

12 min read

RAG Evaluation: Test Retrieval Before Tuning the LLM

AIRAGEvaluation+1

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RAG Evaluation: Test Retrieval Before Tuning the LLM

A research-backed workflow for finding whether a RAG system failed at retrieval, grounding, abstention, or operations.

Uygar DuzgunJul 26, 2026

13 min read

AI Agent Memory Poisoning Needs Full-Lifecycle DefensesA research-backed architecture for preventing poisoned agent memory from surviving across sessions and influencing tool use.

LLM Prompt Caching Economics: Measure Before You Buy GPUsPrompt caching can change cloud-versus-local LLM economics, but only when workloads reuse stable prefixes. Measure before you provision.

AI Agent Sandbox Security: Design for the Whole TrajectoryA source-backed architecture for containing long-running AI agents across network, identity, tools, monitoring, and incident replay.

Machine Unlearning: A Practical AI Data Removal WorkflowA source-backed workflow for deleting AI data across retrieval, model edits, replicas, and audit evidence.

EU AI Act Article 50: AI Content Label ChecklistArticle 50 requires more than a watermark. Providers must mark synthetic outputs, and deployers may still need visible labels and human-review evidence.

LLM Confidence Score: Calibrate Before You Trust ItAn LLM confidence score is not a universal probability. Compare verbal scores, logprobs, and sampling, then calibrate a safe threshold.

AI Bill of Materials: Track What Actually RunsA practical build-time and runtime inventory for models, datasets, APIs, agent tools, and unresolved dependencies.

The LLM Tokenizer Tax: How Language Changes AI Cost and ContextA practical guide to measuring multilingual token costs, context limits, and model tradeoffs.

AI-Generated Books Are Growing Faster Than Reader DemandA 14,419-book study finds AI-heavy fiction gaining sales share while revenue per title falls. The causal story is less certain.

How to Use AI for Learning Without Outsourcing Your ThinkingTwo July studies point to the same practical rule: use AI to explain, question and test your work without letting it replace the attempt.

KV Cache Eviction Can Hide LLM Failures in ProductionA research-backed test plan for separating cache-induced regressions from hard tasks before a faster inference configuration reaches production.

RAG Evaluation: Test Retrieval Before Tuning the LLMA research-backed workflow for finding whether a RAG system failed at retrieval, grounding, abstention, or operations.