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📰 Dev.to · Nilofer 🚀

24 articles · Updated every 3 hours · View all reads

All Articles 132,631Blog Posts 137,216Tech Tutorials 34,343Research Papers 25,934News 18,764 ⚡ AI Lessons
Carbon-Aware Model Training: Scheduling GPU Workloads Around Electricity Carbon Intensity
Dev.to · Nilofer 🚀 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Carbon-Aware Model Training: Scheduling GPU Workloads Around Electricity Carbon Intensity
Training ML models has an environmental cost that most practitioners do not measure. A model trained...
Agentsync: Version, Merge, and Audit AI Agent Configurations Like Code
Dev.to · Nilofer 🚀 1mo ago
Agentsync: Version, Merge, and Audit AI Agent Configurations Like Code
Most AI engineering teams now run a stack of agent configs across many repos - model choices, tool...
Prepush-Guardian: Catch Secrets and Broken Tests Before They Reach Git History
Dev.to · Nilofer 🚀 ☁️ DevOps & Cloud ⚡ AI Lesson 1mo ago
Prepush-Guardian: Catch Secrets and Broken Tests Before They Reach Git History
You are about to push. There is a hardcoded API key buried in one of 30 changed files. Or you forgot...
Fine-Tuning Qwen2.5-0.5B to Write SRE Post-Mortem Summaries
Dev.to · Nilofer 🚀 1mo ago
Fine-Tuning Qwen2.5-0.5B to Write SRE Post-Mortem Summaries
Writing post-mortem root-cause summaries is time-consuming and inconsistent. Junior SREs miss...
Morph: AST-Level Refactoring Where the LLM Describes Intent, Not Code
Dev.to · Nilofer 🚀 🧠 Large Language Models ⚡ AI Lesson 2mo ago
Morph: AST-Level Refactoring Where the LLM Describes Intent, Not Code
When an LLM generates source code for a refactor, the output is a diff a reviewer must read line by...
Context Time Machine: Forensic Investigation of What Your Agent Actually Saw
Dev.to · Nilofer 🚀 2mo ago
Context Time Machine: Forensic Investigation of What Your Agent Actually Saw
Long-running agent sessions fail in a specific way that is hard to debug. The agent runs 40 turns. At...
Agent Constitution: Policy Enforcement and PII Protection for AI Agents
Dev.to · Nilofer 🚀 🤖 AI Agents & Automation ⚡ AI Lesson 2mo ago
Agent Constitution: Policy Enforcement and PII Protection for AI Agents
AI agents are getting more capable. They can browse the web, call APIs, read and write files, and...
ASR Evaluation Framework: Benchmarking Speech Recognition Models Across Accuracy, Speed, and Robustness
Dev.to · Nilofer 🚀 2mo ago
ASR Evaluation Framework: Benchmarking Speech Recognition Models Across Accuracy, Speed, and Robustness
Picking an ASR model for production is not straightforward. Whisper might be the most accurate for...
SPEC-TO-SHIP: A Multi-Agent Pipeline That Turns Feature Ideas Into Production Code
Dev.to · Nilofer 🚀 2mo ago
SPEC-TO-SHIP: A Multi-Agent Pipeline That Turns Feature Ideas Into Production Code
Writing a feature spec and getting it to production involves a lot of steps, architecture decisions,...
RAG Pipeline Stress Tester: Battle-Test Your RAG System Before It Reaches Production
Dev.to · Nilofer 🚀 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago
RAG Pipeline Stress Tester: Battle-Test Your RAG System Before It Reaches Production
Most RAG systems get tested with a handful of happy-path questions. Someone asks "what is machine...
Orbis: Turn Any GitHub Repository Into an Interactive 3D Dependency Graph
Dev.to · Nilofer 🚀 ⚡ AI Lesson 2mo ago
Orbis: Turn Any GitHub Repository Into an Interactive 3D Dependency Graph
Understanding a large codebase is hard. You clone it, start reading files, and quickly lose track of...
SmolVLM2 Edge Vision Agent: Visual Monitoring Without a GPU or Cloud API
Dev.to · Nilofer 🚀 🤖 AI Agents & Automation ⚡ AI Lesson 2mo ago
SmolVLM2 Edge Vision Agent: Visual Monitoring Without a GPU or Cloud API
Running vision AI locally has always had a catch, you need a GPU, or you need to send frames to a...
ContextCraft: A Visual Workbench for Building and Managing LLM Context Windows
Dev.to · Nilofer 🚀 🧠 Large Language Models ⚡ AI Lesson 2mo ago
ContextCraft: A Visual Workbench for Building and Managing LLM Context Windows
Building a good LLM prompt is not a one-shot task. You assemble pieces, a system message, a few...
AI Slop Cleaner: Automating Your Codebase Hygiene
Dev.to · Nilofer 🚀 🛠️ AI Tools & Apps ⚡ AI Lesson 2mo ago
AI Slop Cleaner: Automating Your Codebase Hygiene
Every codebase accumulates clutter over time. An import left behind after a refactor. A helper...
Agent Failure Classifier: Post-Hoc Root Cause Analysis for Failed LLM Agent Runs
Dev.to · Nilofer 🚀 🤖 AI Agents & Automation ⚡ AI Lesson 2mo ago
Agent Failure Classifier: Post-Hoc Root Cause Analysis for Failed LLM Agent Runs
When an LLM agent fails, the trace is right there, the user turns, the tool calls, the responses, the...
Synthetic Data Flywheel: A Closed-Loop Pipeline for Instruction-Tuning Data
Dev.to · Nilofer 🚀 2mo ago
Synthetic Data Flywheel: A Closed-Loop Pipeline for Instruction-Tuning Data
Fine-tuning a model requires data. Good data requires human labeling. Human labeling doesn't scale....
Agent Memory Compressor: Intelligent Memory Compression for Long-Running LLM Agents
Dev.to · Nilofer 🚀 🤖 AI Agents & Automation ⚡ AI Lesson 2mo ago
Agent Memory Compressor: Intelligent Memory Compression for Long-Running LLM Agents
A 10-turn agent session can easily accumulate 20,000+ tokens of raw history, leaving almost no room...
Cache-Augmented Generation (CAG): A RAG-less Approach to Document QA
Dev.to · Nilofer 🚀 🧠 Large Language Models ⚡ AI Lesson 3mo ago
Cache-Augmented Generation (CAG): A RAG-less Approach to Document QA
Most document QA systems today rely on Retrieval-Augmented Generation (RAG). The standard pipeline is...
Loop Anti-Pattern Linter: Finding Hidden Performance Issues in Python
Dev.to · Nilofer 🚀 ⚡ AI Lesson 3mo ago
Loop Anti-Pattern Linter: Finding Hidden Performance Issues in Python
When writing Python code, loop-heavy logic often looks correct but hides performance issues that only...
Low-Latency Model Router: Automatic LLM Selection Across OpenRouter
Dev.to · Nilofer 🚀 3mo ago
Low-Latency Model Router: Automatic LLM Selection Across OpenRouter
When calling an LLM API directly, the model selection is typically fixed ahead of time. In practice,...