Warp

The Warp team came together in Savannah for our fall off-site! Our agenda: Engineer the software factory, let it run, go kayaking 🛟 Shout out to Hotel Bardo for their hospitality! If you want to join us next time, we're hiring: warp.dev/careers

Agents are getting complex to manage: models, skills, automations, permissions, cloud environments, orchestration patterns.. So, we built the Terraform for agents: one repository that configures all of your agents as code. The Warp Factories configuration spec defines: - Agents and orchestration: how work gets routed and which models agents use - Automations: the events and schedules that kick off work - Access and environments: repositories, secrets, MCP servers, and runners - Measurement: scorers and benchmarks for understanding and improving performance Because it’s all code, both engineers and agents can propose changes to the factory itself. That makes it possible to test new configurations, benchmark them, and even have your factory propose improvements as PRs. Check out the interactive guide and clone the example templates to learn more about how it works. We'll help you deploy with $10k in usage for qualified companies https://lnkd.in/etvwXwZj ➡️

You can now sign in with ChatGPT from the Warp Terminal and the Warp Agent CLI! Sign in to Warp with your ChatGPT account and use your subscription’s included Work and Codex usage for your agent conversations.

Sonnet 5.5 is now in Warp and the Warp Agent CLI. We ran the numbers, and confirmed it has reached 100% SOTA on the "Write Sonnets about Rust" bench

Introducing Scorers: Agents that grade your agents. This uses LLM-as-a-judge to automatically improve the output quality of software factories. Here's how it works:

Warp now has built-in support for the Grok Build CLI. - Use Warp's rich input for agent prompts, with support for longer pasted prompts and multi-cursor - Use /remote-control to share your agent session to another device - Access the file explorer and code review panels

Our company’s cost-per-PR dropped from $80 to $30 by switching to GPT 5.6 Sol. We built a benchmark to replay our team's agent runs across model providers. GPT 5.6 Sol got the highest code quality at a 66% lower cost vs. our old default (Claude Opus 5).

Factory benchmarks let you build your own model bench using your past coding agent runs 👇 - Mirrors your environment, secrets, and MCPs for each run - Scores output on judging criteria you define - Generates a report with model recs using cost vs. quality Here's how it works. You can get early access at https://lnkd.in/gVbjqvHe 🔖

Introducing Factory Benchmarks: The first model bench generated from your own coding tasks. Measure, test and improve coding agents by replaying past agent runs, and cut cost-per-PR by 63%+. How it works: First, benchmarks are built from your team's past agent runs. All agent runs are tracked in Warp Factories, letting you build a representative sample to test against. You can select tasks and define judging criteria yourself, or build a sample agentically using the Warp Factories MCP. With your benchmark defined, you can customize the models and scoring criteria you want to test. Use built-in scorers like correctness, code quality, and efficiency, or define custom rubrics for metrics your team cares about (Figma mockup alignment, e2e test quality, etc). Then, review your benchmark report. This includes the overall model recommendation + a performance breakdown across tasks. You can use results to inform your default models, or define custom model routers to let your agent pick the right model for each task. We used a factory benchmark to reduce our own cost-per-PR by 63%, from $80 per PR down to $30. Here's a full walkthrough of factory benchmarks: https://lnkd.in/gXgBtik6 👀

Claude Fable 5.1 is now available in Warp.