tech

AI, Code & E-commerce

Articles on AI automation, web development, Next.js, SEO, and scaling e-commerce businesses. 106 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.

64 articles tagged AI

I Thought AI Would Give Me More Free Time. Now I Want to Build More.
AIAI ProductivityAI Coding+1
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I Thought AI Would Give Me More Free Time. Now I Want to Build More.

I expected AI to give me more free time. After 229 commits across five repositories, I noticed I wanted to build more. Here is the honest trade-off.

Uygar DuzgunU
Uygar DuzgunSep 12, 2026
8 min read
AI Engineering Build Log: What I Shipped in July 2026
AIEngineeringBuild Log+2
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AI Engineering Build Log: What I Shipped in July 2026

July's work spanned a notarized macOS release, controlled music-analysis tests, public SEO actors, internal TestFlight builds, and deliberate non-releases.

Uygar DuzgunU
Uygar DuzgunAug 10, 2026
9 min read
LLM Energy Efficiency Depends on the Serving Stack
AILLM InferenceEnergy Efficiency+2
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LLM Energy Efficiency Depends on the Serving Stack

LLM energy efficiency changes with traffic, serving choices, hardware and SLOs. Use this phase-aware audit before optimizing production inference.

Uygar DuzgunU
Uygar DuzgunAug 9, 2026
12 min read
Verify AI Citations Before You Trust Them
AIAI CitationsFact Checking+3
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Verify AI Citations Before You Trust Them

A linked source can exist and still fail to support an AI-generated claim. Use this five-step workflow before you quote, publish, or act on it.

Uygar DuzgunU
Uygar DuzgunAug 5, 2026
13 min read
Multimodal Embeddings: Test Each Modality Before Production
AIMultimodal EmbeddingsInformation Retrieval+3
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Multimodal Embeddings: Test Each Modality Before Production

One multimodal retrieval score can hide a failing video, image, or document lane. Evaluate each modality before production.

Uygar DuzgunU
Uygar DuzgunAug 4, 2026
15 min read
AI Job Interviews: What 70,884 Applications Showed
AIAI HiringJob Interviews+3
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AI Job Interviews: What 70,884 Applications Showed

A large field experiment found gains from structured AI interviews, but it did not test autonomous hiring. The boundary matters.

Uygar DuzgunU
Uygar DuzgunAug 3, 2026
11 min read
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 DuzgunU
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 DuzgunU
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 DuzgunU
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 DuzgunU
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 DuzgunU
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 DuzgunU
Uygar DuzgunJul 29, 2026
16 min read