Modular prompt transpilation: A build-time approach to scaling AI agent instructions
To resolve the scaling bottlenecks and runtime errors caused by monolithic system prompts, engineering teams should treat prompts as build artifacts by modularizing instructions into reusable…
Read the full articleYou might also wanna read
Developer Converts VS Code Prompt Files into Portable AI Agent Skills
A developer who previously used AI agents and MCP to automate website content updates identified key limitations in their original setup, in

Orchestrating Parallel Intelligence: Building a Multi-Agent AI Grading System with LangGraph
The era of the monolithic, zero-shot Large Language Model (LLM) prompt is fading. In its place, the AI engineering ecosystem is rapidly adop
Exploring the Minimalist Approach: When AI Agents Only Need Code Execution
When code execution really is all you need. Exploring what happens when an AI agent can only write and run code.
Product Literacy Emerges as the Engineering Skill AI Cannot Replace
A commentary published on DEV Community argues that AI coding agents have effectively automated the translation of specifications into code,
Grit: Using AI agents to rewrite Git in Rust as a library-based, memory-safe implementation
We used agents to port all of Git to library-first, memory-safe Rust and it passes the entire C Git test suite.

UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks
arXiv:2607.08768v1 Announce Type: new Abstract: The rapid development of large language models and multimodal large language models has acce

Comments
Sign in to join the conversation.
No comments yet. Be the first.