A troubleshooting story about an intriguing GitHub issue: a developer could clone a GitHub repository successfully, however failed to push updates to it.
I explain in detail the cause is GitHub’s permission model for forked repositories within organizations that enforce SAML SSO.
The solution is simple in hindsight: authorize your SSH key for use with SAML SSO for GitHub organizations that require that.
Six AI coding assistants tested: GitHub Copilot, Claude Code, Cursor, Windsurf, Kiro, and Gemini CLI. Through hands-on testing with Rust and React projects, I discovered each tool’s strengths and surprising limitations. Learn which AI coding agent matches your development workflow.
I tested Kiro’s structured, spec-driven development approach against GitHub Copilot’s rapid iteration style by building the same React quiz app with both tools. While Kiro excelled at upfront planning and task breakdown, its rigid methodology failed to produce working code. Copilot’s pragmatic approach with real-time feedback ultimately delivered a functional prototype. The key insight? Understanding when to use structured planning versus rapid prototyping can make or break your AI-assisted development workflow.
Kiro IDE review: An agentic development environment featuring spec-driven workflows, EARS requirements syntax, and advanced security controls. Discover Kiro’s autopilot vs supervised modes, trusted command configurations, and real-time change tracking. Essential reading for developers evaluating structured alternatives to prompt-based coding assistants.
Introducing “flow coding”—a new multi-agent development approach where you orchestrate AI agents to collaborate on software projects. Unlike vibe coding’s human-AI partnership, flow coding enables AI-to-AI collaboration while you guide the creative process from above.
Want to run AI models locally on Linux? This guide walks you through setting up the llm CLI and Ollama to power your own private AI environment—no Apple Silicon required. Learn how to install tools, pull models, and start chatting with AI directly from your terminal using open and efficient Linux-native solutions.
Claude 4’s release brings significant improvements to AI-assisted coding that matter for security-conscious engineers. The coding platform Lovable reports a 25% reduction in syntax errors and 40% speed improvement in production environments.
While this doesn’t directly address semantic security issues like dependency confusion attacks, fewer syntax errors allow security reviewers to focus on logic and security issues rather than basic correctness, creating opportunities for more targeted security review.
no time, jump straight to how to Protecting yourself in the age of vibecoding and Secure AI-assisted development Artificial intelligence has revolutionized software development, with […]
An AI-driven threat software engineers need to watch out for — when large language models hallucinate fake but plausible package names, and bad actors register them for malicious use. As AI-generated code becomes more common, verifying package names is no longer optional. Learn what slopsquatting is, why it matters, and how to protect your code.
Join me on a journey through the labyrinth of GitHub repositories, where a seemingly simple task – cloning a repository – turned into a quest for knowledge. In this tale, I’ll share my experience of encountering an error message, navigating SSH keys, discovering the ‘Configure SSO’ dropdown, and ultimately finding the solution. So, grab your SSH key and let’s dive into the world of GitHub authentication for use with SAML single sign-on!
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