nowfound

AI · alternatives · 2026

24 alternatives to Long Horizon

Your coding agent writes the feature and runs the tests

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1
    Runtimefree tier, from $99/mo▲303

    Sandboxed coding agents for everyone on your team

    May 2026 · runtm.com · its alternatives →

  2. 2

    Measure the full AI SDLC. From token to production.

    Apr 2026 · waydev.co · its alternatives →

  3. 3
    Bullet▲240

    Hi HN, excited to be sharing this with you guys today. TL;DR: Bullet is a fast coding agent. At our company, we were burning hours waiting on agent runs. The models weren’t the problem. The agent loops around them were slow (unnecessary planning, oversized context, repeated searches, and serial tool calls). So we built Bullet as a passion project, the goal being to help you iterate faster, without giving up quality: - It automatically selects the model and reasoning level for each prompt. - It runs independent searches, reads, and commands in parallel. - It uses targeted code search instead…

    Aug 2026 · codewithbullet.com · its alternatives →

  4. 4
    Greplica▲186

    Self updating wiki for coding agents

    Jul 2026 · github.com · its alternatives →

  5. 5

    I'm Josh, founder of Synth. We've been working on coding agent optimization with method like GEPA and MIPRO (the latter of which, I helped to originally develop), agent evaluation via methods like RLMs, and large scale deployment for training and inference. We've also worked on patterns for memory, processing live context, and managing agent actions, combining it all in a single stack called Horizons. With the release of OpenAI's Frontier and the consumer excitement around OpenClaw, we think the timing is right to release a v0. It integrates with our sdk for evaluation and optimization but…

    Feb 2026 · github.com · its alternatives →

  6. 6
    Replicas▲239

    Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…

    Jun 2026 · replicas.dev · its alternatives →

  7. 7

    Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.

    Aug 2026 · telerik.com · its alternatives →

  8. 8
    Agen▲138

    AI changed the way we code, but we're still using the old processes, and we've become the bottleneck, the AI is waiting for us - to reply, to open our laptops, to review the code, and so on. We're building the future of AI software development. The agents are autonomous, they run in sandboxes, automatically fix the pipelines, and deliver you the final, working code. You can use live preview to see the changes they made. Working across multiple repositories, all within the same session. This is the future - you don't need an IDE, and you don't have to run anything locally.

    Mar 2026 · agenhq.com · its alternatives →

  9. 9

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com · its alternatives →

  10. 10
    Expect▲109

    Let agents test your code in a real browser

    Mar 2026 · expect.dev · its alternatives →

  11. 11

    Spawn sandboxes at the speed of natural language. Pause, resume, and snapshot the full state of an agent’s workspace — filesystem, processes, memory — and pick up later without losing context.

    May 2026 · anyframe.dev · its alternatives →

  12. 12

    I wanted to test mobile apps in plain English instead of relying on brittle selectors like XPath or accessibility IDs. With a vision-based agent, that part actually works well. It can look at the screen, understand intent, and perform actions across Android and iOS. The bigger problem showed up around how tests are defined and maintained. When test flows are kept outside the codebase (written manually or generated from PRDs), they quickly go out of sync with the app. Keeping them updated becomes a lot of effort, and they lose reliability over time. I then tried generating tests directly from…

    Apr 2026 · github.com · its alternatives →

  13. 13

    We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…

    Feb 2026 · docs.continue.dev · its alternatives →

  14. 14

    Hi HN! My name is Olaf, I work at CircleCI as a technology advisor in the CTO office, came in through the acquisition of my company Vamp.io (progressive delivery for microservices on k8s) in 2021. Wanted to hear the HN community feedback and thoughts on a project we think could be very interesting when adding AI coding agents to the SDLC and your CI pipelines. Our team at CircleCI built Chunk sidecars after repeatedly running into the same issue internally: by the time our CI catches a failure, the agent has already moved on and most of the useful context is gone. The basic idea of Chunk…

    May 2026 · circleci.com · its alternatives →

  15. 15

    One-shot bigger coding tasks

    Apr 2026 · github.com · its alternatives →

  16. 16
    Stagent▲71

    Drive Claude Code through long tasks it would otherwise drop

    May 2026 · stagent.worldstatelabs.com · its alternatives →

  17. 17

    Hey HN, we're Julian and Glenn, and we're building stagewise (https://stagewise.io), a frontend coding agent that lives inside your browser on localhost and operates on local codebases. You can spawn the agent into locally running web apps in dev mode with `npx stagewise` from the project root. The agent lets you then click on HTML Elements in your app, enter prompts like 'increase the height here' and will implement the changes in your source code. Before stagewise, we were building a vertical SaaS for logistics from scratch and loved using prototyping tools like v0 or lovable to…

    2025 · github.com · its alternatives →

  18. 18ST

    We're a couple of software engineers who believe that to build great software you need to write good tests, but we also sympathise when engineers say things like: - "Writing tests was too time consuming on my tight schedule", or - "Unit tests don't catch enough bugs, so they're useless", or - "I've inherited a legacy code base without tests and have no idea where to start" To tackle this we're building Symbolica (https://www.symbolica.dev), a symbolic code executor [1], that lets you run your code for all possible inputs. This means you can do things like: - Assert properties about…

    2021 · its alternatives →

  19. 19

    Now that AI is capable of writing large volumes of production-quality code, our role as developers is changing. Our primary job is no longer writing code. It’s planning and communicating software design and architecture. We have to do this collaboratively with agents and then review and iterate on their implementations. IDEs were not built for this workflow. So about three months ago I decided to try to build what I thought this new interface should look like. Runner is a coding agent purpose-built for this new “plan and review” workflow. It’s not for vibe coding. It’s for professional…

    2025 · runnercode.com · its alternatives →

  20. 20KA

    I built this because Cursor, Claude Code and other agentic AI tools kept giving me tests that looked fine but failed when I ran them. Or worse - I'd ask the agent to run them and it would start looping: fix tests, those fail, then it starts "fixing" my code so tests pass, or just deletes assertions so they "pass". Out of that frustration I built KeelTest - a VS Code extension that generates pytest tests and executes them, got hooked and decided to push this project forward... When tests fail, it tries to figure out why: - Generation error: Attemps to fix it automatically, then tries again -…

    Jan 2026 · keelcode.dev · its alternatives →

  21. 21

    Prompt your AI agent to write a product video, grounded in a real Playwright E2E run of your app. Because every video is code, it re-renders as your product changes, so what customers watch never goes stale.

    Jul 2026 · screenci.com · its alternatives →

  22. 22WH

    Hey guys, I'm investing a ton of time on writing unit tests, for both enterprise and personal projects. I came up with the idea to make extension for AI-generated tests and cases within a VS Code. Happy to hear feedback, both positive and negative.

    2024 · marketplace.visualstudio.com · its alternatives →

  23. 23

    Coding agents made everything feel fast again - except managing release binaries. Operations like these should be real commands you can run from your terminal: - "Deploy the login fix to staging" - "What's the functional difference between production and staging?" - "Notify me when any security fix hits production" - "Promote Jen's last changes to staging" - "Share the new beta API SDK with the partners at Acme" That's what Fly does. Every time a CI run pushes artifacts to the Fly Registry, it creates a release - including the binaries produced, an AI-generated summary, captured…

    Apr 2026 · jfrog.com · its alternatives →

  24. 24

    Run your coding agents in one workspace. Maxxwell helps you follow their progress, coordinate their work, and focus on what needs your attention.

    Sep 2026 · maxxwell.dev · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →