• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

Warp offers tighter oversight of command‑line coding agents workflows with a reviewable feedback loop; its new diff‑tracking UI shows every agent change in real time, supports line‑level prompts and manual edits

September 5, 2025 //  by Finnovate

The AI coding tool Warp has a plan for making coding agents more comprehensible — and it looks an awful lot like pair programming. The company is releasing Warp Code, a new set of features designed to give users more oversight over command-line-based coding agents, with more extensive difference tracking and a clearer view of what the coding agent is doing. With the new features, founder Zach Lloyd wants to “make a much tighter feedback loop for this agentic style of coding.” In practical terms, that means you can see exactly what the agent is doing and ask questions along the way. “As the agent is writing code, you’ll be able to see every little diff that the agent is making,” Lloyd says, “and you’ll have an easy way of commenting on those diffs and adjusting the agent as it goes along.” The general interface will be familiar to Warp users: a space at the bottom for giving direct instructions to the agent, along with a window for seeing the agent’s responses and a side window where you can see the changes the agent makes step by step. You can change the code by hand if you want to, similar to code-based tools like Cursor, but you can also highlight specific lines to add as context for a request or a question. Perhaps most impressive, Warp’s compiler will automatically troubleshoot any errors that come up when the code compiles.

Read Article

Category: AI & Machine Economy, Innovation Topics

Previous Post: « Apple Intelligence plans a planner‑search‑summarizer Siri, keeping personal context on‑device while calling Google Gemini via Private Cloud Compute for web answers
Next Post: The agentic web needs a “HTTPS‑for‑agents”: decentralized infrastructure, a protocol‑level trust layer, and verified AI agents to ensure consensus, provenance and auditability at scale »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.