Now that coding agents are writing most of the code, the bottleneck for fast feature delivery has shifted from coding to testing and review. However, our testing and review processes were designed for a time when building the feature was the most time taking step in the software development lifecycle. I talked to engineers working in startups, both big and small, and there was a recurring theme to how things have been going lately: 1. Every engineer is supposed to deliver more and faster. 2. Almost all the code is being written using AI. There is company mandate to do this. 3. Engineers are spending most of their time testing the features, or mostly not testing them well enough. 4. Code reviews are not as thorough as before since the volume of PRs has increased a lot. 5. Code reviews are not as effective as before since the code is written by AI and engineers do not understand it well enough themselves. 6. More bugs are getting shipped to production than ever before. Having faced the same issues myself, I decided to build Long Horizon. A platform built for developers to get their favorite coding agent to plan testing scenarios, write tests, run and debug them, and capture how the feature works as human auditable reports. This lets developers ensure that all scenarios and corner cases get tested though the agent, and they can share the report in their PR as evidence that the feature actually works as expected. PR reviews also become more effective as reviewers can now see exactly how the feature works in all the different scenarios and point out any missed scenarios or UX level issues. If you, or your team, uses AI to build features and is seeing some of the same problems as listed above, try out Long Horizon and I would love to hear your feedback.

Long Horizon

Your coding agent writes the feature and runs the tests

Your coding agent writes the feature and runs the tests