Alternatives
Products that do what Custom Merge Checks in Bitbucket Cloud, Using Forge does
Shameless plug for the functionality my team shipped to beta just before Christmas. For context, Forge is Atlassian's product extensibility framework that lets you write your own plugins (for lack of a better word) for our cloud SaaS products: https://developer.atlassian.com/platform/forge/ Coming up in a few weeks from another of my teams will be a feature we call "Dynamic Pipelines" which will let you use a similar Forge lambda function to mutate/generate Bitbucket Pipelines workflows at runtime.
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Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware - Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it - Ships with an eval harness and interactive dashboard so you can reproduce every number I wanted to run a handful of always-on agentic systems…
May 2026 · github.com
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Hi HN, we’re Nick and Drew, and we’re building boxes.dev – the first cloud-only agentic dev environment (ADE) that gives every Codex and Claude Code agent its own cloud computer. We’re two engineers who previously built Gem (co-founder/CTO and first hire), and we spent the last year coding almost exclusively using Codex and Claude Code. It’s been a huge change to how we code, and it’s been exhilarating seeing the models keep getting better – but we eventually realized that developing on localhost was holding us back: - Git worktrees are clunky to set up and use for parallelizing work -…
Jun 2026 · boxes.dev
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Hi HN. My name is Andrey. On a regular business day, I'm a software engineer working at AWS. Outside of work hours, I spend time on my hobby - writing code. I was once building a pet project that allowed customers to spin up fully synchronized blockchain nodes within just a few minutes. The backend was split into a control plane and a data plane, each with its own AWS account. Later I added two more AWS accounts. One for shared RPC nodes. One for the Analytics Service. Since I love to visualize things, I used drawio to visualize the architecture. With time, I noticed a pattern. I'd write…
Jun 2026
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Hi All! We've spent a few months on getting an MVP together, and would love to get some feedback on whether this tool meets you needs. Here is a link to a demo video: https://www.youtube.com/watch?v=FBLi3vdKB-4&feature=emb_rel_pause Here's a link to our website: https://www.structure.rest And here's a blog article, I published today in the space: https://www.structure.rest/blog/using-a-data-analytics-stack-to-gain-business-insights
2020
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I don't know Rust. Friday after work I realised that 90% of my IDE time now is just the commit/diff view — and even good IDEs feel heavy for that. So over the weekend I built a dedicated native tool for just that. Kyde is a macOS git commit + diff editor with one goal: be fast, do Git well. I'm curious whether anyone else mostly opens their IDE for git operations these days. It's open source, and there's a signed app in Releases.
Jun 2026 · github.com
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Jul 2026 · github.com
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Me and a few friends have been working multy.dev, an open-source cloud agnostic API that makes it easy to deploy the same infrastructure to any cloud provider using native managed services. The motivation was the realisation that, even when using Terraform, migrating infrastructure code requires an end-to-end re-write. Even though most core resources are the same in any major cloud, developers need to learn a new provider to deploy the same infrastructure when moving providers. We currently support: - Networking (virtual_network, subnet, route_table, security_group, network_interface,…
2022
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Turn app folders into SEO sites for Cloudflare/Netlify
May 2026 · app-launch-forge.aiproficient.org
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Hey HN, creator of DVC here! DVC (https://dvc.org/) is known as Git for data projects. Technically, DVC codifies your data and machine learning pipelines as text metafiles (with pointers to actual data in S3/GCP/Azure/SSH) while you use Git for the actual versioning. DevOps folks call this approach GitOps or more specifically in this case - DataOps or MLOps. We’ve been working towards 1.0 since we started 3 years ago. What began as my pet project now has 100+ code contributors, 100+ documentation contributors, and thousands of users. Our community has taught us…
2020
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