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Baruch Sadogursky argues that software specifications, not code, should become the source of truth in agentic AI development, with code serving as a disposable intermediate language. Context engineering—using structured …
The article argues that the primary challenge for AI coding tools shifts from code generation quality to context management as projects scale beyond 40 files. Key differentiators include repo understanding, multi-file co…
The article explains how to use the `Microsoft.Extensions.Telemetry.Abstractions` source generator to simplify metric creation in .NET, replacing manual boilerplate code from the `System.Diagnostics.Metrics` APIs introdu…
AI coding assistants have not democratized software development but instead widened the skill gap between junior and senior engineers. While both can produce code quickly, a senior developer’s deep expertise enables them…
Anthropic has acquired the company behind Bun, the high-performance JavaScript runtime, bundler, and package manager. Bun will remain open-source under the MIT license, will continue to be actively maintained by the same…
Here is a factual summary of the article: The article argues that modern AI coding assistants like Claude 4.x and GPT-4o have become strictly literal in following prompts, which means they will produce technically corre…
CodeGraph is an open-source tool that pre-indexes codebases into a local semantic graph using tree-sitter and SQLite, allowing AI coding agents to access structured code knowledge with a single tool call instead of perfo…
Business logic vulnerabilities are security flaws that arise not from coding errors, but from the abuse of legitimate system workflows, where each individual request appears normal but violates the intended business purp…
While AI tools enable faster code production, they often create an "illusion of correctness" where syntactically clean code passes reviews but contains hidden assumptions that cause production failures. It argues that te…
Cloudflare has introduced Dynamic Workflows, a new feature that bridges durable execution with dynamic deployment, allowing platforms to run tenant-specific workflow code that is loaded at runtime rather than being part …
In a three-month project, the author used AI coding agents to build a 100K-line Rust-based multi-Paxos consensus engine that modernizes Azure's Replicated State Library (RSL) for contemporary hardware, achieving a perfor…
This document outlines strict coding guidelines for AI agents and contributors working with Python code, emphasizing full optimization through algorithmic efficiency, parallelization, and minimal technical debt. It manda…
The article explains that transitioning to AI-assisted "agentic coding" shifts a developer's role from writing code to orchestrating and reviewing it, making traditional velocity estimations obsolete. The primary bottlen…
The article explains the OAuth 2.0 Device Authorization Grant (device flow), a protocol designed for devices like smart TVs, CLIs, and IoT devices where traditional password entry is impractical. It details a step-by-ste…
A developer's project to modernize 40-year-old COBOL mainframe code into Python microservices using a fully offline, local AI agent. The developer used the open-source Gemma 4 model, loaded via Unsloth's optimized 4-bit …
Set of behavioral guidelines derived from Andrej Karpathy's observations to reduce common coding mistakes made by large language models (LLMs). The rules emphasize caution over speed, requiring explicit assumption-statin…
The article describes "Ultralight Orchestration," a minimal multi-agent system that coordinates tasks between AI models Claude, Codex, and Gemini using an orchestrator, planner, coder, and designer agents. The system is …
Polarized state of software development in 2026, divided between "token chasers" who use AI to rapidly ship code and "refusers" who write every line by hand. It argues that both sides have valid points: AI can dramatical…
Researchers at Microsoft have introduced AutoSP, a compiler-based solution that automatically converts standard training code into multi-GPU sequence parallel code for long-context language model training. The tool, inte…
Rapid adoption of generative AI in software engineering, arguing that it undermines code quality, developer ownership, and craftsmanship by encouraging the acceptance of "slop" code. The author analyzes GenAI from four p…