Towards Data Science·
Use coding agents to power your knowledge base The post How to Build a Powerful LLM Knowledge Base appeared first on Towards Data Science.
Read full articleThe following article originally appeared on Addy Osmani’s blog site and is being republished here with the author’s permission. Coding agents are extraordinarily good now, and getting better fast. The interesting consequence is that the hard part of engineering moved from writing code to deciding whether to trust it, which makes review the most leveraged […]
Learn about the concept of loops to power your coding agents. The post How to Create Powerful Loops in Claude Code appeared first on Towards Data Science.
Learn how to apply coding agents to verify work in your browser. The post How to Use Claude Code in Your Browser appeared first on Towards Data Science.
SWE-Explore: Benchmarking How Coding Agents Explore Repositories
FrontierCode highlights the gap between AI-generated code and professional standards, urging a reevaluation of AI's role in software development. The post Cognition introduces FrontierCode benchmark that exposes AI coding agents’ biggest weakness appeared first on Crypto Briefing.
StepFun releases Step 3.7 Flash, a 198B MoE model with native vision, 256k context, and Advisor Mode. The post StepFun Releases Step 3.7 Flash: A 198B MoE Vision-Language Model for Coding Agents and Search Workflows appeared first on MarkTechPost.
Keep an overview of all your coding agents that run in parallel The post How to Effectively Run Many Claude Code Sessions in Parallel appeared first on Towards Data Science.
Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.
