📰 Reads
123,611 articles · Updated every 3 hours
All
⚡ AI Lessons (19218)
ArXiv cs.AIDev.to AIDev.to · FORUM WEBForbes InnovationMedium · ProgrammingMedium · AI
Medium · AI
1d ago
A beginner-friendly guide to getting your first freelancing client — even with zero experience.
Continue reading on Medium »
Dev.to · Gabriel Anhaia
1d ago
Choosing Postgres, MongoDB, or DynamoDB: The 4 Questions That Actually Decide It
Skip the feature matrix. Four questions resolve 80% of database choices, and the answers route cleanly between Postgres, MongoDB, and DynamoDB.
Dev.to · Gabriel Anhaia
1d ago
Saga Pattern Without the Drama: A Real Order Service in 200 Lines
Sagas are state machines with compensations. A working orchestrated order saga in 200 lines of Python, with the compensation-failure cases nobody shows.
Medium · UX Design
🖌️ UI/UX Design
⚡ AI Lesson
1d ago
O que ninguém te conta sobre UX em M&A de produto
Todo deal de aquisição de produto tem o mesmo roteiro na parte de tech: auditoria de código, avaliação de dívida técnica, mapeamento de… Continue reading on Med
Dev.to · Gabriel Anhaia
1d ago
CQRS Is Almost Always Wrong. Here Are the 4 Cases Where It's Actually Right.
A CRUD app does not need two models. The four scenarios where CQRS earns its complexity, and the costs you sign up for the moment you split.
Medium · Programming
1d ago
AI Writes 75% of Code Now — Should You Still Learn Programming in 2026?
AI can code now — so is learning programming still a smart move? Continue reading on Medium »
Dev.to · Gabriel Anhaia
1d ago
200-Line Outbox Pattern: ~90% Fewer Mystery Bugs
The dual-write problem in concrete terms, then a 200-line transactional outbox in Go: schema, atomic write, relay, idempotency, and the gotchas.
Medium · Data Science
1d ago
Cafe Sales Analysis Project Using Excel: Identifying Growth Drivers, Risks, and Expansion…
Cafes generate large volumes of daily transactions, but understanding what actually drives growth is not always straightforward. Continue reading on Medium »
Dev.to · Gabriel Anhaia
1d ago
Postgres With pgvector vs Pinecone: 1 Million Embeddings, One Honest Comparison
Latency, recall, cost, and ops weight at 1M vectors. Numbers from named benchmarks, the rest labeled illustrative. A decision tree at the end.
Dev.to · Gabriel Anhaia
1d ago
5 RAG Failure Modes Nobody Warns You About in the Tutorials
The five RAG failures that survive your eval suite and break in production. Each one with a small mitigation snippet you can paste in today.
Medium · UX Design
1d ago
How AI Can Replace 50% of Your UX Work (If You Use It Right)
The half you should automate. The half that makes you irreplaceable. Continue reading on Medium »
Dev.to · Alan West
1d ago
Why Your Config Files Break After Every Upgrade (and How Plain Text Fixes It)
Binary config files break across versions and block code review. Here's how to audit, convert, and enforce plain text formats for resilient projects.
Dev.to · Gabriel Anhaia
1d ago
APMs Traditionally Don't Measure Correctness — Here's What Does
APM treats LLM calls as 200 OK. The correctness layer your dashboards are missing — judges, golden sets, retrieval checks, per-tenant cost.
Backlinko
1d ago
How to Build Location Pages That Rank, Convert, and Get Cited
Most location pages fail for one of two reasons: They’re too thin (just an address and phone number) or too generic (the same template with city names swapped o
Dev.to · Renato Silva
1d ago
From "Student" API to Professional Grade: JWT Auth, Swagger, and
Building an API that works on your local machine is just the first step. But what separates a hobby...
Dev.to · Al Amin Rifat
1d ago
ComfyUI's $500M moment is really about creator control
ComfyUI's reported $500M valuation matters because it validates workflow-first AI creation, not just better prompting.
Medium · Programming
1d ago
React Interview Questions I Was Recently Asked (Real Experience)
Photo by charlesdeluvio on Unsplash Continue reading on Medium »
Medium · JavaScript
1d ago
React Interview Questions I Was Recently Asked (Real Experience)
Photo by charlesdeluvio on Unsplash Continue reading on Medium »
Dev.to · Gabriel Anhaia
1d ago
Langfuse vs LangSmith vs Phoenix vs Arize: One App, Four Stacks
Same RAG app, four observability stacks. Tracing model, eval framework, prompt versioning, cost tracking, pricing — laid out side by side.
Dev.to · Gabriel Anhaia
1d ago
Tool-Calling Loops: The Bug That Burns $4,000 Overnight (and the 7-Line Fix)
Plan, call, 429, re-plan, call. Why the LLM keeps trying the same thing, and the seven-line detector that aborts the trace before the bill clears.
Dev.to · rafflesia Khan
1d ago
Claude Managed Agents: The Builder's Guide to Production-Ready AI Workflows
You've wired up the LLM. Now it needs to actually do something. You built a basic Claude script....
Medium · Machine Learning
1d ago
The Rise of AI Agents: Why 2026 Is the Year Software Starts Working For You
烙 What Are AI Agents, Really? Continue reading on Medium »
Medium · Startup
1d ago
The Rise of AI Agents: Why 2026 Is the Year Software Starts Working For You
烙 What Are AI Agents, Really? Continue reading on Medium »
Dev.to · Gabriel Anhaia
1d ago
The 5 Guardrails Every AI Agent Needs Before It Touches Production
Action class, cost ceiling, step cap, output policy, escalation. Five wrappers around your agent loop, in the order they need to compose.
DeepCamp AI