From Unsafe Terminals to Verified Agents: How Low-Level Rust, 6502 Retrocomputin

<p><em>Originally published on <a href="https://tamiz.pro/insights/lsp-integration-ai-coding-agents" rel="noopener noreferrer">tamiz.pro</a>.</em></p> <p>The current generation of

<p>If you're building AI agents in Python right now, two frameworks are competing for your attention: <strong>LangChain Deep Agents</strong> (launched March 15, 2026) and the

<h1> The Case for Rust: Why I Choose Absolute Reliability for RPGFX and WebRaven </h1> <p>The transition from high-level, interpreted languages to Rust often feels less like a

<p>In January and February 2026, security researchers filed <a href="https://www.heyuan110.com/posts/ai/2026-03-10-mcp-security-2026/" rel="noopener noreferrer">30 CVEs against

<p>Most developers spent 2023 and 2024 experimenting with AI-assisted code completion and chat interfaces. Those tools were useful—but they were also passive. You typed a prompt.

<p>The agent generates 40 lines of code. You read the diff. You approve the change.</p> <p>What just happened there? You didn't write code. You didn't design a flow. You didn't

<h2> Introduction </h2> <p>In recent years, the automotive software landscape has changed dramatically. What used to be small, specialized electronic control units (ECUs) with

<p>If you’ve browsed agent engineering discussions recently, you’ve seen the same hype everywhere: MCP (Model Context Protocol) is the new standard for AI agents. Every new