Alternatives
Products that do what PromiseProof does
AI can fix code. It shouldn't certify itself.
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Deep Work Plan▲114Models matter. Context matters more. Give your agent a plan.
Jun 2026 · deepworkplan.com
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Trace, evaluate, and improve AI agents in production
Aug 2026 · telerik.com
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Build source-backed knowledge bases with Claude Code, Codex, OpenCode, or any AI agent. Export Project Knowledge Checkpoints, apply personal specialist review methods, shape Ideas, and promote approved work into Projects.
21d ago · llm-wiki.net
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Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026
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We built Verity.md for the new era of loop engineering where traditional code review simply doesn't fit and is a major bottleneck. This is what we think the future of code review looks like: - An adversarial review layer, which is part SAST scanning for quality and security issues deterministically, and part AI (a different one) checking for intent gaps. - Built-in gates that tells the coding agent how to fix itself when it finds an issue (this is the self-healing part). - Compounding knowledge base where every decision is saved, so the next time the coding agent run it starts smarter -…
Jul 2026 · verity.md
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Hey everyone, My friend and I built a simple bug fixing app that listens for alerts/issues from Sentry, contextualizes it against your codebase, and any other data sources you wish to connect (right now we support Notion, Google Docs, and Slack), and deploys an ai agent to write a PR for review in Github or Gitlab to solve the bug. Our current demo shows the end-to-end process for a trivial bug fix, but we have been testing it with open source python repos like http-pie, comparing how our agent solves a bug compared to a human engineer and it gets fairly close. We are working on adding…
2023 · resolvd.ai
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24 agent skills, each distilled from one concrete engineering failure — short, self-contained rule sets an AI coding agent (or a human) can apply without the original context.
27d ago · whetstone.akbarsha.dev
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In the following case study, the AI coding agent rebuilds a core system invariant in just three days, with minimal human input, running 31 verification passes and correcting 201 errors, before shipping code with zero bugs, zero regressions, and zero technical debt. https://aisovereignlabs.ai/docs/case-study/liveSession/case-... Disclaimers: This case study is NOT: - a project written from scratch - yet another Rust transpilation - a clone of an open-source project found in the LLM's training data - a Super Mario clone in HTML It IS: - a complex application…
Jul 2026
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