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60articles · curated from global AI & Data Engineering sources

AIabout 5 hours ago

I Let AI Plan 170 Changes. It Made the Same 3 Mistakes Every Time.

Everyone is arguing about which model plans best. I ran 170 goals and found out the model was never...

#ai#agents#llm
Dev.to
AIabout 7 hours ago

An MI300X Over MCP: What the Matrix Cores Execute, and What They Don't

One AMD Instinct MI300X on AMD Developer Cloud, managed entirely through a tag-scoped Python MCP server, with every figure read off the card rather than a spec sheet. fp8 e4m3fnuz runs 1.77x bf16; int8, which AMD rates identically to fp8, runs 0.69x; fp4 is not on this silicon at all. One droplet, $1.99 an hour, and two readings that were wrong the first time.

#amd#mcp#rocm
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AIabout 13 hours ago

A 4 GB Laptop GPU Beats a 12-Core CPU by 4.3x on Gemma 4

Serving Gemma 4 E2B q4_0 through llama.cpp on one laptop, twice: CPU-only and on a 2021-era 4 GB GTX 1650 Ti. Same GGUF, same binary, same prompts, one flag apart. The card takes decode by 4.3x, and needs only 1598 MiB to do it.

#machinelearning#gpu#benchmarking
Dev.to
DATA ENGabout 16 hours ago

Deploying Apache Flink on a Kubernetes Cluster as an Alternative to GCP Dataflow

Google Cloud Dataflow is a managed stream and batch processing service built on Apache Beam that...

#flink#kubernetes#dataengineering
Dev.to
DATA ENGabout 17 hours ago

ELT with Dataform on Google Cloud

A real-world ELT pipeline with Dataform and BigQuery — staging and mart layers, JavaScript includes, dynamic tables and views, GitHub sync over SSH and Terraform provisioning.

#dataform#bigquery#googlecloud
Dev.to
RESEARCHabout 18 hours ago

68 public trading strategies: 12 declare a trial count, 0 report a Sharpe

I took a large public collection of ready-made trading strategies — 68 files, the canonical...

#python#datascience#statistics
Dev.to
AIabout 19 hours ago

Build real-time voice applications with Gemini 3.8 Live and 3.5 Transcribe

Yesterday, we released new Gemini Live models in the Gemini API and Google AI Studio, expanding our...

#ai#live#voice
Dev.to
RESEARCH1 day ago

I audited all 25,125 servers in the MCP registry

Every MCP directory, every "browse servers" page, every agent that discovers tools at runtime reads...

#mcp#ai#opensource
Dev.to
DATA ENG1 day ago

Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't

Four read-only Apache Iceberg tools bound into Google ADK, AWS Strands and Microsoft Agent Framework, run against five catalogs, 360 timed runs. Building the agent ports and running it does not; speed follows the model and how much it writes; the storage wiring under the tools is the per-cloud work.

#iceberg#aiagents#lakehouse
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AI1 day ago

AI Wrote Half My Codebase. The Maintenance Bill Showed Up in Month Three.

AI made the first draft free. I treated that as the win. The bill arrived later, not in dollars, in...

#ai#agents#llm
Dev.to
RESEARCH1 day ago

Shipping a statistical model to the browser: Dixon–Coles soccer predictions with no backend and no API key

I wanted a public page where anyone could click a soccer match and see real probabilities behind it —...

#javascript#webdev#showdev
Dev.to
AI2 days ago

The Slow and Quiet Cognitive Atrophy of a Modern Software Engineer

Over the past couple of months, I've read a lot of articles about the consequences of AI dependency...

#software#ai#programming
Dev.to
DATA ENG2 days ago

One Table, Many Engines: Running BigQuery, Spark, and Trino on a Single Iceberg Copy

A hands-on guide to building an open lakehouse on Google Cloud: one Apache Iceberg table in GCS, three engines, real OCC conflict (HTTP 409) via the Lakehouse Iceberg REST Catalog.

#googlecloud#apacheiceberg#bigquery
Dev.to
AI2 days ago

My Agent's Tests Were Green Because the Model Learned to Cheat

If your AI reviewer says "pass" every time, you didn't build a reviewer. You built a rubber...

#ai#testing#programming
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TOOLS2 days ago

The Test Looked Redundant. The Ninth Bug Needed It.

A 5/5 mutation score missed a regression. A ninth candidate then exposed why a redundant-looking test mattered.

#ai#testing#python
Dev.to
AI2 days ago

AI Didn't Remove the Engineering Work. It Just Made It Easier to Pretend You Did.

On September 15, India — along with Sri Lanka and Tanzania — celebrates Engineer's Day, marking the...

#ai#discuss#career
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AI2 days ago

Learning neural networks through mental models

For a while, I understood neural networks mostly mechanically. Data entered the network, passed...

#machinelearning#ai#llm
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DATA ENG2 days ago

Is SQLazy Something Missing from Your dbt Workflow?

dbt is good – but it has blind spots If you’re working in analytics engineering, dbt is...

#analytics#dataengineering#sql
Dev.to
AI3 days ago

What Happens When AI Outgrows the Tests We Use to Measure It?

TL;DR GPT-6 Astra has started another familiar AI conversation. The model is more capable, Jensen...

#discuss#ai#programming
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RESEARCH3 days ago

Prediciendo Brechas de SLA en Soporte Técnico

Caso de estudio: Predicción de brechas de SLA Proyecto: NovaTech AI Support (escenario hipotético,...

#machinelearning#mlops#datascience
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RESEARCH3 days ago

5 ways your ML model's score is lying to you

A while back, I had to retract one of my own results. A model I'd built was posting a validation...

#machinelearning#python#datascience
Dev.to
TOOLS3 days ago

Django 6.1's FETCH_PEERS collapses a 2,001-query loop into 2

Django 6.1's fetch_mode(FETCH_PEERS) cut a loop from 2,001 queries and 1.2s to 2 queries and 13ms, but I found it silently does nothing when combined with iterator() and gives no help at all on reverse relations.

#django#python#database
Dev.to
AI3 days ago

AI Avatar v20, Cursor Avatar, Notification Avatar (Voxel Avatar)🧊

Intro AI Avatar is a free app where your VRoid (VRM) avatar cheers you with all its...

#ai#webdev#productivity
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TOOLS4 days ago

Nano Banana 2 Lite, Revisited: MCP 2.0, the New Interactions API, and Three Agent CLIs

The Nano Banana 2 Lite MCP server from July, updated: FastMCP is now MCPServer, google-genai 1.x gets a 400 from the Interactions API, and one server now runs in Claude Code, Codex and Antigravity CLI.

#mcp#python#gemini
Dev.to
AI4 days ago

My Comment Section Designed My Next Experiment. Then It Made Me Freeze My Predictions.

Ten days ago I published an article about a failure mode: tell a language model "a scanner flagged...

#ai#machinelearning#statistics
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AI4 days ago

Vibe Coding Isn't the Problem. Calling It Engineering Is

Let's Address the Elephant in the Room Again Vibe coding has always been a weird topic to...

#ai#machinelearning#coding
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DATA ENG4 days ago

56 fault-injection tests passed. The one that injected nothing failed.

I was building a tool that detects when data quietly changes meaning — a vendor switching units, a...

#dataengineering#python#testing
Dev.to
AI5 days ago

4,768 LLM Runs, Zero Lost Sweeps: Hardening a Field-Test Runner for Timeouts, Hangs, and Cost

Update — v0.3.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...

#ai#agents#healthydebate
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AI5 days ago

Our Recall Was 0.087 and the Model Was Innocent: How Domain-Scoped Replay Doubled It

Update — v0.3.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...

#ai#agents#healthydebate
Dev.to
AI5 days ago

I built an epistemic gate to stop LLM data poisoning during fine-tuning. Tested across 5 architectures, orchestrated on a 2006 Toshiba laptop for $0.

Hi everyone, For a long time, the AI industry has pushed the narrative that advanced safety research,...

#ai#opensource#machinelearning
Dev.to
DATA ENG5 days ago

Window Functions Are the SQL Superpower Nobody Taught You

Running totals, top-N-per-group, and row comparisons — without the self-join headache. A practical walkthrough with real code and a cheat sheet.

#sql#dataengineering#database
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RESEARCH5 days ago

The Last Non-Neural Candidate, and It Did Not Clear the Bar

The bar was a slope: keep converting extra data into accuracy after exact-context statistics saturate. A full hierarchical Pitman-Yor model with Gibbs sweeps and inferred discounts moved the intercept and left the slope alone, halving with every doubling exactly as cruder count models did.

#ai#machinelearning#datascience
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TOOLS5 days ago

I Optimized My Bump Version Tool and Made It 1,000,000x Faster Than Its Python Counterparts.

Hello again, fellow Rustaceans, Pythonistas in denial, and the three people on earth who genuinely...

#rust#python#javascript
Dev.to
AI6 days ago

Most AI "Reasoning" Traces Are Just the Answer, Written Backwards

You've probably watched an AI think through a problem step by step, nod along with the logic, and...

#ai#discuss#machinelearning
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TOOLS6 days ago

FastMCP Is Now MCPServer: Migrating a Python MCP Server to the MCP SDK 2.x

Step-by-step: moving a FastMCP server to the MCP Python SDK 2.x — what broke, what changed, what did not, and a redeploy of its Gemma 4 vLLM backend to a Cloud Run L4 GPU.

#mcp#python#googlecloud
Dev.to
TOOLS6 days ago

AI-Generated Tests Can Make Coding Agents Worse. Here's How to Check Yours

ExecCritic found that weak generated tests reduced repair success. A runnable Python example shows how to catch a test that approves the wrong fix.

#ai#testing#python
Dev.to
DATA ENG6 days ago

I Built a Data Quality Library Because Existing Tools Were Too Slow for My Pipelines

I got mass fed up with data quality tools, so I built my own I work as a data engineer....

#dataengineering#python#dataquality
Dev.to
AI6 days ago

Your agent's confirm token is one-shot. Your write still happens twice.

A production bug I shipped, why the obvious fix was incomplete, and what actually closes it. ...

#ai#security#llm
Dev.to
DATA ENG7 days ago

Apache Data Lakehouse Weekly: September 3-9, 2026

Three things ran through the dev lists this week. Projects kept redrawing their own boundaries, with...

#bigdata#database#dataengineering
Dev.to
AI7 days ago

AI Is Already Better at Coding Than Most Software Developers

...but let me say this right away: coding was never the most valuable part of software...

#discuss#ai#webdev
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DATA ENG7 days ago

The Hard Truth About Data Engineering Interviews Nobody Tells You

LeetCode won't save you. SQL will. Here's what data engineering interviews actually test, with real examples.

#dataengineering#interview#career
Dev.to
AI7 days ago

I Shipped a Fix That Fixed Nothing. Here's Why I Kept It.

Update — v0.2.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...

#ai#llm#testing
Dev.to
AI8 days ago

4 pitfalls of loop engineering (and how to fix them)

Perhaps you've heard the term Loop Engineering: instead of solving a problem by hand, you build a...

#ai#agents#discuss
Dev.to
AI8 days ago

I Built a Production Grade ML Candidate Ranking System

The Challenge Three months ago, I participated in the Redrob India Data & AI...

#hackathon#ai#machinelearning
Dev.to
RESEARCH8 days ago

Building an Interactive Excel Dashboard for E-commerce Product Analysis: A Case Study of Jumia Products

Introduction One thing I have started learning during my journey into data analytics is...

#analytics#data#datascience
Dev.to
AI8 days ago

I let AI write 100% of my code for 30 days. Here's what broke.

Not "AI-assisted." Not "copilot suggestions I edited." I mean I made a rule: for 30 days, I don't...

#ai#webdev#programming
Dev.to
AI8 days ago

Fine-tuning a content-moderation model on a laptop is easy. Trusting the result is not.

I fine-tuned a small language model to sort messages into safe or unsafe, the kind of check a...

#ai#python#finetuning
Dev.to
DATA ENG8 days ago

5 Habits That Keep a dbt Project From Turning Into a Mess

I once inherited a dbt project where the same "active customer" filter existed in four different...

#dataengineering#dbt#sql
Dev.to
AI9 days ago

The $2,000 Inference Server: Standing Up Local AI on Ten-Year-Old Hardware

I run a local inference server that handles thousands of agent requests a day. It cost about $2,000...

#ai#selfhosted#llm
Dev.to
TOOLS9 days ago

How We Upgraded RabbitMQ to v4 Without Breaking 8M Daily Celery Tasks

Upgrading to RabbitMQ v4 threatened to break our entire usage of Celery, more specifically tasks with...

#architecture#backend#devops
Dev.to
RESEARCH9 days ago

Turning public-apis into a Cache-Friendly RAG Retrieval Layer

Stop bleeding tokens on repetitive RAG queries. Learn how to transform raw markdown catalogs into record-oriented, cache-optimized retrieval layers.

#python#ai#datascience
Dev.to
AI9 days ago

Has AI Made You A Lazier Developer? Be Honest.

Haven't you ever wondered if this AI vibe coding has made us lazy? Who's been solving problems on...

#discuss#ai#productivity
Dev.to
AI9 days ago

Your Agent Remembered the Fact. It Answered Like a Stranger.

A memory system can return the exact fact a request depends on whenever that fact is named, and still...

#ai#agents#llm
Dev.to
AI9 days ago

Most 'AI Agents' Are Just If-Statements in a Trench Coat

I built an agent last year, and I was proud of it. It had a planner. It had tools. It had a...

#ai#softwareengineering#webdev
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AI9 days ago

The 6-Line Fix That Outperformed My Entire Matcher Week

Update — v0.2.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...

#ai#llm#agents
Dev.to
RESEARCH9 days ago

DataLens: The Data Tool That Refused to pip install Anything

What DataLens actually does Before the stdlib war stories, here's the tool itself. DataLens is a...

#opensource#data#datascience
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TOOLS9 days ago

Stop rebuilding from scratch: cache Docker layers on Cloud Build

Cloud Build runs on ephemeral workers, so your Docker cache vanishes on every run. Here's how to persist it in Artifact Registry with BuildKit's registry cache — uv stops re-downloading dependencies, builds get faster, greener and cheaper.

#docker#googlecloud#python
Dev.to
RESEARCH9 days ago

Understanding Neural Networks and The Core Idea Behind Them

Introduction Neural networks work by building a system inspired by the human brain that...

#datascience
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RESEARCH10 days ago

Why your progress bar's ETA lies, and the survey-sampling trick that fixes it

We've all trusted a progress bar that said "5 minutes left," walked away, and come back an hour later...

#python#opensource#datascience
Dev.to
AI10 days ago

Your system prompt isn't instructions. It's data.

Four measured findings from tuning a 31B model's 680-line system prompt, including the six rebuilds I wasted on a bug that never existed.

#ai#llm#programming
Dev.to