github6 min read
Stop AI Agents from Writing Spaghetti: Enforcing TDD with Superpowers
Finally We Can Force AI Agents to Stop Acting Like Junior Developers The project Superpowers by Jesse Vincent (obra) s...
January 13, 2026Read article
githubEN / עב6 min
Stop AI Agents from Writing Spaghetti: Enforcing TDD with Superpowers
The project Superpowers forces AI coding assistants to follow senior engineering practices like TDD and systematic planning. Instead of letting agents rush to write code, it enforces a disciplined workflow: write tests first, plan before implementing, and review before shipping.
January 13, 2026Read
github7 min
Claude Code: Autonomous AI Agents Living in Our Terminal
Finally: An AI Agent That Actually Lives in Our Development Environment The project Claude Code from Anthropic s...
January 13, 2026Read
github6 min
Beads: Git-Backed Memory for AI Agents That Actually Remembers
How We Finally Got AI Agents That Remember Across Git Branches The project Beads by Steve Yegge solves the persistent ...
January 13, 2026Read
githubEN / עב6 min
Beads: Git-Backed Memory for AI Agents That Actually Remembers
Beads solves the persistent memory problem in AI coding agents by storing task graphs as versioned JSONL files directly in our Git repository - letting agent context survive branch switches and merges.
January 13, 2026Read
arxiv6 min
TIME: Making Reasoning Models 10x Cheaper by Thinking Only When Needed
Reasoning Models Are Burning Our Budget on Trivial Questions The paper [TIME: Temporally Intelligent Meta-reasoning Engine for Context Triggered Explicit Rea...
January 12, 2026Read
arxiv7 min
Breaking the Memory Wall: How MoEBlaze Achieves 4x Faster MoE Training
The Memory Wall That's Blocking Our MoE Ambitions The paper [MoEBlaze: Shattering the Memory Wall in Large-Scale MoE Training](https://arxiv.org/abs/2601.052...
January 12, 2026Read
arxivEN / עב7 min
Breaking the Memory Wall: How MoEBlaze Achieves 4x Faster MoE Training
MoEBlaze tackles the critical memory bottleneck in Mixture-of-Experts training that limits our batch sizes and training speed. Through zero-buffer token dispatch and co-designed kernels, it achieves 4x speedups and 50% memory reduction compared to existing frameworks.
January 12, 2026Read
arxivEN / עב6 min
TIME: Making Reasoning Models 10x Cheaper by Thinking Only When Needed
TIME introduces dynamic reasoning allocation for LLMs, reducing inference costs by 90% while improving accuracy. Instead of forcing expensive thinking traces on every query, the model learns when reasoning is actually needed - making production deployment practical.
January 12, 2026Read
github7 min
UI-TARS-desktop: The AI Agent That Actually Sees and Controls Our Computers
Finally, An AI Agent That Can Actually Use Our Computer The project UI-TARS-desktop from ByteDance solves the...
January 11, 2026Read
githubEN / עב7 min
UI-TARS-desktop: The AI Agent That Actually Sees and Controls Our Computers
ByteDance's UI-TARS-desktop bridges the gap between AI reasoning and execution by giving agents visual understanding of our desktop. Instead of being limited to APIs, it sees our screen and controls mouse/keyboard like we do - finally making AI useful for actual daily tasks.
January 11, 2026Read
github7 min
Why Continuous Fuzzing Isn't Enough: The Bugs That Survive
The Fuzzer Ran for 18 Months. The Bug Was Still There. A recent [GitHub Blog post by Antonio Morales](https://github.blog/security/vulnerability-research/bug...
January 11, 2026Read
github6 min
Why AI Is Pushing Us All Toward TypeScript (And Why That's Good)
The 94% Statistic That's Changing How We Code A recent [GitHub Blog post by Cassidy Williams](https://github.blog/ai-and-ml/llms/why-ai-is-pushing-developers...
January 11, 2026Read
githubEN / עב6 min
Why Continuous Fuzzing Isn't Enough: The Bugs That Survive
Continuous fuzzing initiatives like OSS-Fuzz miss critical vulnerabilities even after years of testing. This research reveals why standard edge coverage isn't enough and introduces a five-step workflow using Context-Sensitive and Value Coverage techniques to find the bugs that survive.
January 11, 2026Read
github6 min
OpenCode: The Open Source AI Coding Agent We Can Actually Own
Finally, an AI Coding Agent We Actually Control The project OpenCode solves a problem we've all been wrestling with ...
January 11, 2026Read
github6 min
OpenCode: The Open Source AI Coding Agent That Frees Us From Vendor Lock-In
An AI Coding Agent We Can Actually Own The project OpenCode solves a problem that's been frustrating us terminal use...
January 10, 2026Read
githubEN / עב6 min
OpenCode: The Open Source AI Coding Agent That Frees Us From Vendor Lock-In
OpenCode is an open source AI coding agent that works with any model provider - Claude, OpenAI, Google, or local models. Finally we can have AI assistance in our terminal without vendor lock-in, with built-in LSP support and a client-server architecture.
January 10, 2026Read
github6 min
Why AI is Settling the Typed vs. Untyped Debate For Us
The 94% Stat That Changes Everything A recent [GitHub Blog post by Cassidy Williams](https://github.blog/ai-and-ml/llms/why-ai-is-pushing-developers-toward-t...
January 10, 2026Read
github6 min
Why 94% of AI Code Errors Are Pushing Us All Toward TypeScript
AI Just Settled the Typed vs. Untyped Debate - And the Data Is Stunning A recent [GitHub Blog post by Cassidy Williams](https://github.blog/ai-and-ml/llms/wh...
January 9, 2026Read
githubEN / עב6 min
Why 94% of AI Code Errors Are Pushing Us All Toward TypeScript
New data reveals that 94% of LLM compilation errors are type-check failures. This explains why TypeScript just overtook Python and JavaScript as the most-used language on GitHub - and why typed languages are becoming essential for our AI-assisted development workflow.
January 9, 2026Read
github7 min
Claude Code: The Agentic Terminal Assistant That Actually Understands Your Codebase
An Agentic Coding Assistant That Lives in Your Terminal The project claude-code solves the problem of context-sw...
January 9, 2026Read
githubEN / עב6 min
Claude Code: The Agentic Terminal Assistant That Actually Understands Your Codebase
Claude Code is an agentic coding assistant from Anthropic that runs directly in your terminal. Unlike autocomplete tools, it can autonomously navigate your codebase, fix bugs, explain complex logic, and handle git workflows using plain English commands - shifting from AI that helps you code to AI that codes for you.
January 9, 2026Read
github6 min
Memvid: AI Agent Memory in a Single Portable File
AI Agents Finally Get a Memory That Doesn't Require a PhD The project Memvid solves the fundamental problem of giving AI ...
January 8, 2026Read
github7 min
Memvid: AI Agent Memory in a Single File - No Servers Required
AI Memory Without the Infrastructure Nightmare The project Memvid solves the problem of giving AI agents persistent memor...
January 8, 2026Read
github7 min
Memvid: The Single-File Memory Layer That Changes AI Agent Development
AI Agents Finally Get Portable Memory Without Infrastructure Bloat The project Memvid solves the problem of giving AI age...
January 8, 2026Read
arxiv7 min
R²VPO: How Soft Constraints Fix the Eureka Moment Problem in LLM Training
Teaching AI to Learn Without Killing Brilliant Ideas The paper Ratio-Variance Regularized Policy Optimization (R²VPO) tackles one of the...
January 8, 2026Read
github7 min
Memvid: The Portable Memory Layer That Eliminates Vector Database Hell
Finally, AI Agent Memory Without the Database Nightmare The project memvid/memvid solves the problem of giving AI agents long-term memory...
January 8, 2026Read
github7 min
BitNet: How Microsoft Made 100B LLMs Run on Your Laptop CPU
The Project That Makes GPU-Free AI Inference Actually Work The project microsoft/BitNet solves the problem of running large language...
January 8, 2026Read
arxiv6 min
WebGym: How 300K Tasks Finally Trained AI Agents to Use Real Websites
Finally, a Training Gym That Matches the Chaos of Real Websites The paper WebGym tackles the massive gap between what AI agents can do in...
January 8, 2026Read
arxiv6 min
WebGym: Why AI Agents Fail at Web Tasks (And How This Changes It)
Finally, A Proper Training Ground for Web Agents The paper WebGym tackles the most frustrating gap in AI agents right now...
January 7, 2026Read
github7 min
BitNet: How Microsoft Made 100B Models Run on Your Laptop CPU
Running Massive AI Models Locally Just Became Possible The project microsoft/BitNet solves the problem of running larg...
January 7, 2026Read
github7 min
OpenCode - The Open Source AI Coding Agent That Works With Any Model
The Open Source Answer to AI Coding Agents The project OpenCode (https://github.com/anomalyco/opencode) solves the p...
January 6, 2026Read
AI10 min
Claude 4 Opus vs GPT-5: The Ultimate Developer Benchmark
We tested Claude 4 Opus and GPT-5 across 15 real-world coding tasks. The results might surprise you - and reveal which model to use for different development scenarios.
January 5, 2026Read
arxiv5 min
When AI Content Pipelines Meet Missing Data: A Real-Time Debugging Story
When the Pipeline Breaks Before It Starts I was prepared to analyze the latest arXiv research paper today - ready to break down complex AI concepts, explain ...
January 5, 2026Read
ai-agents6 min
When AI Agents Fail: A Real Pipeline Break and What It Teaches Us
The AI Agent That Forgot Its Job I set up an AI agent with one simple task: scan trending GitHub repositories, analyze them for impact in AI and coding, and ...
January 5, 2026Read
arxiv6 min
The Hidden Trojan in Your AI Vocabulary - Why Model Merging Isn't Safe
The Security Hole Nobody Saw Coming The paper The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition just exp...
January 5, 2026Read
arxiv8 min
The Hidden Trojan: How Model Merging Became a Security Nightmare
The Supply Chain Attack Nobody Saw Coming The paper The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition ex...
January 5, 2026Read
github7 min
AI Hedge Fund - When Multiple AI Agents Become Your Trading Council
What Happens When You Let AI Versions of Warren Buffett and Cathie Wood Fight Over the Same Stock? The project [AI Hedge Fund](https://github.com/virattt/ai-...
January 5, 2026Read
github6 min
AI Hedge Fund: When Multiple AI Agents Become Your Investment Committee
What Happens When AI Agents Become Investment Analysts The AI Hedge Fund repo solves the problem of synthesizing ...
January 5, 2026Read
github8 min
AI Hedge Fund - Building Investment Teams from AI Agents
When AI Agents Become Wall Street Analysts The project ai-hedge-fund solves the problem of single-perspective bia...
January 5, 2026Read
AI10 min
15 Cursor AI Tricks That 10x Your Coding Speed
Stop using Cursor like a chatbot. These power-user techniques will transform how you code - from codebase-wide refactoring to AI-powered debugging that actually works.
January 4, 2026Read
github7 min
Pathway - The Python Framework That Keeps Your AI From Working With Stale Data
Pathway is a high-performance Python ETL framework for stream processing and real-time AI pipelines. It solves the problem of feeding live data into LLM systems without painful batch re-indexing - using incremental updates instead of full rebuilds.
January 4, 2026Read
AI11 min
Model Context Protocol (MCP): The New Standard for AI Tools
Anthropic's MCP is becoming the USB-C of AI integrations. Here's how to build your first MCP server, why it matters for the agentic future, and how to integrate it into your existing systems.
January 3, 2026Read
AI10 min
RAG is Dead. Long Live Agentic RAG.
Traditional RAG pipelines are hitting a wall. The next evolution combines retrieval with autonomous agents that reason about what to retrieve and when. Here's how to build systems that actually work.
January 2, 2026Read
AI10 min
The Rise of AI Agents: From Chatbots to Autonomous Workers
Why 2026 is the year of the autonomous agent. We move beyond simple RAG to agents that can plan, execute, and correct themselves - fundamentally changing how we build AI-powered applications.
January 2, 2026Read
Code10 min
Vibe Coding: The New Way to Build
It's not just about logic anymore. It's about the flow. How LLMs allow us to code at the speed of thought - and the skills you need to thrive in this new paradigm.
January 1, 2026Read
AI10 min
OpenAI Codex CLI: AI-Powered Terminal is Here
OpenAI just open-sourced their terminal AI. It's changing how I interact with the command line forever - natural language is becoming the universal interface for system administration.
January 1, 2026Read
Next.js11 min
Mastering Next.js 15
A deep dive into the stability of Next.js 15 and why Turbopack changes the game for large monorepos.
December 28, 2025Read
AI11 min
Structured Outputs: The End of JSON Parsing Nightmares
Stop wrestling with regex and pray-parsing. Modern LLMs guarantee valid JSON output. Here's how structured outputs work, why they matter, and how to use them effectively in production.
December 28, 2025Read
Apple11 min
Apple Vision Pro: A Developer's Perspective
Is spatial computing dead? Far from it. Here is what I have built and learned over the last 6 months.
December 25, 2025Read
AI2 min
How I Replaced 80% of Code Reviews with AI
Controversial take: AI code review is better than most human reviews. Here's my automated pipeline.
December 25, 2025Read
AI2 min
Fine-Tuning in 2026: When and How to Customize LLMs
RAG isn't always the answer. Sometimes you need a model that just knows your domain. Here's the modern guide.
December 22, 2025Read
AI9 min
Self-Hosting LLMs with Ollama
Stop paying OpenAI. Run Llama 3 on your MacBook Pro and keep your data private.
December 20, 2025Read
Design10 min
Design Systems for AI
How do you design a UI for a non-deterministic system? Trust indicators, graceful failure states, and human-in-the-loop patterns are key to building AI interfaces users actually trust.
December 18, 2025Read
AI3 min
Prompt Caching Cut Our AI Costs by 70%
We were spending $50K/month on AI. One architectural change dropped it to $15K. Here's exactly how.
December 15, 2025Read
GenAI11 min
Midjourney v7: Photorealism Achieved
The lines between reality and generation have blurred completely. Midjourney v7 delivers unprecedented photorealism, character consistency, and creative control - fundamentally changing how we think about AI-generated imagery.
December 15, 2025Read
Philosophy9 min
The Ethics of Autonomous Code
If an AI agent breaks production, who is responsible? The developer, the prompter, or the model provider?
December 10, 2025Read
Predictions12 min
My 2026 Tech Stack Predictions
What will we be using next year? My bet is on Rust, Wasm, and more Agentic Workflows. Here's a comprehensive look at where developer tooling and the tech landscape are headed.
December 5, 2025Read
AWS10 min
Why I Switched to Custom AWS Infra
Vercel is great, but when you're running heavy inference, you need the raw power and cost control of AWS.
December 1, 2025Read
📝
AI1 min
The Future of AI-Assisted Development
How LLMs are reshaping the way developers write code.
January 5, 2025Read
automation3 min
Automating Everything: Building No-Code Workflows with Make.com
Discover how to automate your entire workflow using Make.com. From simple tasks to complex AI pipelines.
January 3, 2025Read
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MLOps1 min
Building Production-Ready ML Pipelines
A guide to scalable machine learning infrastructure.
January 3, 2025Read
ai2 min
Getting Started with AI Agents: A Practical Guide
Learn how to build your first AI agent from scratch. This comprehensive guide covers tools, memory, and multi-agent systems.
January 2, 2025Read
ai2 min
Welcome to My Blog: AI, Automation & Code
Introducing my new blog focused on AI, automation, and modern development practices. Join me on this journey!
January 1, 2025Read