Coding with Agents
Summary
Coding with Agents explores how AI agents can assist developers in writing code, automating tasks, and improving productivity.
Similar Articles
Six Months of Writing Code Exclusively with Agents
The author reflects on six months of writing code exclusively with AI agents, discussing the shift from manual coding to agent-assisted development and its implications for productivity and workflow.
@OpenAI: Coding agents are helping scientists spend more time advancing research, taking on everything from routine maintenance …
OpenAI highlights how coding agents can assist scientists with research tasks such as routine maintenance and optimization, while emphasizing that researchers must still define scientific questions and verify results.
Background coding agents: the model was never the point. Who closes the loop is.
A detailed exploration of background coding agents—AI agents that work autonomously in cloud sandboxes and open pull requests—contrasting them with autocomplete and IDE-based tools, based on FactoryKit's real-world experience shipping over 180 features in two weeks.
Agentic coding notes from Galapagos Island
Dan Luu reflects on his experiences using AI coding agents, noting that while AI can fabricate convincing but false repros, it still offers productivity gains in areas like debugging and testing. He discusses the balance of trust, automation, and quality in modern software development.
Is AI agents making it easier to build software than to understand it?
A developer reflects on how AI coding agents can rapidly build and modify software, but developers often lose understanding of the codebase architecture and decisions, creating a new engineering challenge.