
Fixzi
Your data workspace. Always correct.
What it does
You're debugging at 11 PM. The API returns 200 OK. Your app is broken anyway. A field got renamed upstream. No alert. No log. Just a confused user. Fixzi is the developer data workspace that catches this before your users do. Validate, fix, compare and monitor JSON, XML and API responses — in one place. 🚨 Standout feature: API Contract Monitoring — automatically checks your endpoints and alerts you when response structure changes.
Does the same job
all alternatives →

- IRIntercept.rest – Faster API debugging2018 · ▲89
Sharing an internal tool that accelerated my development work 10-fold, especially with API debugging. Thought fellow developers here might find it useful. As a developer, I often have trouble reproducing errors at the client end. https://intercept.rest lets me debug and monitor API requests and responses. It is similar to the Network tab in Chrome Developer Tools but works for any API: mobile apps, webhooks, frontend etc. After I shared it with a close circle of friends, they found it incredibly useful and even found new use cases, I never imagined. Been a long time lurker here and…

- FRFixBugs – Reproduce production bugs and verify fixesJul 2026 · fixbugs.ai · ▲43
I built FixBugs, an agent that ingests the rich context surrounding production bugs to reproduce them in a sandbox and generate verified fixes. It's available in the form of a self-hosted VSCode extension and as a Github app: VSCode Extension: https://fixbugs.ai/go/vscode-extension - full code and data privacy. - zero data retention models opted out of training. GitHub App: https://fixbugs.ai/go/github-app - we do access your code temporarily. - pick a repo to install FixBugs on. What motivated me to build FixBugs were my years being on-call at Google…

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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com