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Articles 117,110Blog Posts 125,096Tech Tutorials 29,938Research Papers 23,514News 17,258
⚡ AI Lessons
Dev.to · John
3h ago
The Silent 10 Tax: How a Nondeterministic System Prompt Voids Your LLM Prompt Cache
A prompt cache is a prefix match, so one timestamp or one unsorted JSON key in the system prompt makes every later token miss the cache — a silent 10× cost leak
Dev.to · John
20h ago
I Lost All My Google Traffic. ChatGPT Doesn’t Seem to Care
I did an SEO experiment in a very competitive niche. Programmatic SEO. A few hundred pages, one...
Dev.to · John
1d ago
"A Fair Coin Isn't Enough: When a Perfectly Randomized Experiment Is Impossible to Analyze"
Our A/B assignment used a cryptographically fair coin and was still unanalyzable — nothing joined the random draw to the task it dispatched, so no code could ev
Dev.to · John
2d ago
Open limits are a better focus rule than minute limits
Most app blockers measure the wrong thing. They count minutes. You spent 47 minutes on TikTok. You...
Dev.to · John
3d ago
Question AI software development
It's a bit challenging for me to post here, so please bear with my English. I'm a junior software...
Dev.to · John
🤖 AI Agents & Automation
⚡ AI Lesson
5d ago
I Built a Local Memory Layer So My AI Tools Stop Forgetting Me
Most developers using AI every day have run into the same strange problem. The models are getting...
Dev.to · John
1w ago
"Model or Method? Building a Deterministic Lab to Measure an AI Agent Fleet's Own Behavior"
A one-time audit said an agent's quality is the method, not the model. So we built a stdlib SQLite lab to measure it across 155 real sessions — and the first le
Dev.to · John
🤖 AI Agents & Automation
⚡ AI Lesson
1w ago
"How to Stop AI Agent Skills, Hooks, and Cron Jobs from Silently Conflicting Over Where They Run and What Data They Trust"
Make every skill, hook, and scheduled job declare four invariants before it ships — Locality (where it can run), Source-of-truth (which facts it owns or borrows
Dev.to · John
2w ago
"If an LLM Extracts the Inputs, Is Your Deterministic Score Really Deterministic? Stopping Provenance Laundering"
No — a scoring function that consumes whatever values an LLM hands it is only deterministic in name; the LLM's judgment launders straight through the 'determini
Dev.to · John
📣 Digital Marketing & Growth
⚡ AI Lesson
2w ago
"macOS: nslookup works but curl and Python \"Could not resolve host\" — the mDNSResponder zombie"
When nslookup resolves a host but curl, pip, and Python fail with "Could not resolve host" on macOS, the mDNSResponder daemon has gone into a non-responsive zom
Dev.to · John
📋 Product Management
⚡ AI Lesson
2w ago
A focus app should treat blocked attempts like product analytics
Most focus apps measure the easy thing. They count how long the timer ran. That is useful, but it...
Dev.to · John
🖌️ UI/UX Design
⚡ AI Lesson
2w ago
The hardest screen in AI food logging is the empty state
The hardest part of an AI food logging app is not the model call. It is the first empty screen. If...
Dev.to · John
🤖 AI Agents & Automation
⚡ AI Lesson
2w ago
A file-based work-bus for orchestrating a fleet of agent CLIs — coordination without a message broker
Coordinate independent agent CLIs without LangGraph or a message broker — atomic Task/Result files, capability-based routing, absent-worker skip for graceful de
Dev.to · John
⚡ AI Lesson
2w ago
AI food logging onboarding should teach recovery, not magic
Most AI app onboarding makes the same promise: give us a clean input and watch the magic...
Dev.to · John
🤖 AI Agents & Automation
⚡ AI Lesson
2w ago
How to make an AI research agent label facts vs inferences — a deterministic provenance pipeline
Originally published on hexisteme notes, part of a series on building and running an AI agent...
Dev.to · John
🖌️ UI/UX Design
⚡ AI Lesson
2w ago
Food logging UX should preserve momentum, not demand precision
Most food logging apps fail in a very boring moment. Not when the AI model is wrong. Not when the...
Dev.to · John
2w ago
AI food logging should optimize for the second tap
The first tap in a food logging app is obvious. Take a photo. Scan a barcode. Type what you...
Dev.to · John
💻 AI-Assisted Coding
⚡ AI Lesson
2w ago
AI food logging needs a confidence handoff, not a magic result
The clean demo for an AI food logger is simple: take a photo get a perfect meal log move on That...
Dev.to · John
💻 AI-Assisted Coding
⚡ AI Lesson
3w ago
The best AI food logger is built for messy meals
A lot of AI food logging demos look clean because the demo meal is clean. One plate. One obvious...
Dev.to · John
🛠️ AI Tools & Apps
⚡ AI Lesson
3w ago
AI food logging should let users be vague first
Most food logging apps accidentally ask for precision at the worst possible time. The user is...
Dev.to · John
🖌️ UI/UX Design
⚡ AI Lesson
3w ago
AI food logging needs a review screen, not just a chatbot
I have been building MetricSync, an iPhone AI food logging app, and one UX lesson keeps getting...
Dev.to · John
🛠️ AI Tools & Apps
⚡ AI Lesson
3w ago
AI food logging works better when every input is optional
I have been building MetricSync, an iPhone food logging app, and one product lesson keeps coming...
Dev.to · John
3w ago
The food logging UI I want after the first guess is wrong
The most important screen in an AI food logger is not the camera. It is the screen after the camera...
Dev.to · John
3w ago
A photo is not always the fastest food log
A lot of AI food logging demos start with the same interaction. Open camera. Take a picture. AI...
DeepCamp AI