Alternatives
Products that do what Incorporating AI in engineering on-call workflows does
Hello HN! My name is Max, and I’m a co-founder at Lynx (https://uselynx.ai). We’re building an AI-powered incident resolution platform to help engineers debug and resolve on-call issues faster. If you’ve ever been paged in the middle of the night and had to spend hours piecing together logs, metrics, and code, we’d love your feedback. * The Problem * On-call hasn’t kept pace with modern engineering. Even with great observability tools, diagnosing incidents is slow because: - Systems are increasingly complex. - Logs, dashboards, and documentation are scattered. - Context often…
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Trace, evaluate, and improve AI agents in production
30d ago · telerik.com
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Hello HN! I'm an Android OS engineer. I've worked with AOSP and Linux kernels all my career and always wondered about lack of sophisticated tools to debug and analyze system-level logs. Always had to resort to manually skimming through large log files to find something I needed to. With the rise of LLMs and the AI-age, I felt it was a great opportunity to build something for OS engineers, which is what led to logcat.ai! We are building the industry-first observability platform for system level intelligence. Think "Datadog for operating systems" instead of applications. Currently, we support…
2025 · logcat.ai
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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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I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!
Sep 2025 · infrastructureas.ai
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Hi all, I'm sure some of the best engineers out here are having a hard time standing out nowadays. It's hard to evaluate and improve your skills, when AI is writing the code. Especially when a junior dev is sitting by your side and "accomplishing" 2x more than you. I didn't like this reality where the line between real talent and AI slop is blurring, so I decided to create a challenge, purely for the community, that is made to truly give a stage for talented devs to stand out in the age of AI. We encourage devs to bring their agents with them, because the challenge is built to not be…
May 2026 · theincidentchallenge.com
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hey hacker news! no matter what I have tried, nothing actually got rid of spam calls. built an AI agent that picks up your phone to filter out these spammers dynamically. next on the roadmap is automating scheduling
2025 · apps.apple.com
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Hey guys, We’re excited to introduce to you what we’ve been working on for the past few months. We are two co-founders and we’ve both experienced on-call shifts where we felt unprepared, the relevant people weren’t around to help or we were left in the middle of the night trying to figure out what went wrong. Merlinn is an open-source AI on-call developer that lives in Slack. It can help you alleviate some of the pains mentioned above by connecting to your favorite tools and pair with you to triage the incident. We also have a pro version that we host on our cloud. Our goal is to help…
2024 · merlinn.co
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Hi HN, I'm the CEO at https://replay.io. We've been working on time travel debugging for web development for a while (https://news.ycombinator.com/item?id=28539247) and more recently an AI app builder that uses that debugger to get past problems instead of spinning in circles (https://news.ycombinator.com/item?id=43258585). We've gotten to where we can pretty easily build apps to replace business-critical SaaS tools, some of which we're now using internally: * We built our own issue tracker to keep track of all our development projects, tickets, bug…
Dec 2025
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Founder here. I built NEO, an AI agent designed specifically for AI and ML engineering workflows, after repeatedly hitting the same wall with existing tools: they work for short, linear tasks, but fall apart once workflows become long-running, stateful, and feedback-driven. In real ML work, you don’t just generate code and move on. You explore data, train models, evaluate results, adjust assumptions, rerun experiments, compare metrics, generate artifacts, and iterate; often over hours or days. Most modern coding agents already go beyond single prompts. They can plan steps, write files, run…
Jan 2026 · marketplace.visualstudio.com
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Sup HN! Dipanshu and Rushant here from Caspian. One is a functional programmer and the other has been deploying AI employees. Together we realized how agents have communication bottleneck. Given the coming agentic economy, we had a thought experiment on what can be the key infrastructure for agents as they get better. Our inspiration for solving for communications infra came from our own time spent just setting up comms while we were deploying open claw for companies plus we noticed about 15%+ of issues in Openclaw and Hermes were that of comms. So we abstracted the headache of reliable…
16d ago · github.com
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We’ve published a set of open-source reference implementations on how to build production-grade Agentic AI applications on AWS. What’s in the repo: • Agentic RAG, memory, and planning workflows with LangGraph & CrewAI • Strands-based flows with observability using OTEL & Arize • Evaluation with LLM-as-judge and cost/performance regressions • Built with Bedrock, S3, Step Functions, and more GitHub: https://github.com/aws-samples/sample-agentic-frameworks-on-... Would love your thoughts — feedback, issues, and stars welcome!
2025 · github.com
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Hi HN, Over the past two years I’ve built and debugged a fair number of production pipelines—mainly retrieval‑augmented generation stacks, agent frameworks, and multi‑step reasoning services. A pattern emerged: most incidents weren’t outright crashes, but silent structural faults that slowly compromised relevance, accuracy, or stability. I began logging every recurring fault in a shared notebook. Colleagues started using the list for post‑mortems, so I turned it into a small public reference: 16 distinct failure modes (semantic drift after chunking, embedding/meaning mismatches,…
2025 · github.com
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I've been working on a site [1] to give people control of their LLM workflows through AI evals - automated checks that, once defined, let you move fast without regressions and cut through hype with proof. That one-liner is aimed at software engineers, but I've spent my career helping cross-functional teams collaborate, and that's really what this is about. AI agents make powerful workflows very plausible, but only if teams can grow them incrementally without losing control - no vendor lock-in, no discipline silos, no blind trust in outputs. The site tries to meet different audiences where…
Feb 2026 · ai-evals.io
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Looking for feedback on how Props can make your life easier as an LLM application developer.
2024 · wwww.getprops.ai
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Hi HN, for the past few months, we’ve been working on Ferrix AI (https://ferrix.ai/) As AI agents speed up engineering, deciding what to build has become the bottleneck. Developers got faster because agents fit into their workflow: tech design, code review, testing. They still make the key decisions, while AI handles mechanical work around them. At Ferrix, we are automating workflow for product managers to make product decisions efficiently. Agents handle the research synthesis, spec writing, and progress tracking, while PMs, designers, and engineers collaborate in a shared…
Jun 2026 · ferrix.ai
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Hey folks, I'm Yuval. I run a tiny startup called Glitter AI. It's just me full-time here, with a couple of freelances to help here and there. A couple of months ago, I went from managing zero requests to hundreds -- overnight (won Product of the day on Product Hunt). As someone who gets VERY easily distracted (maybe you relate), I had to find some sort of way of handling all the chaos if I didn't want to burn out. I came up with a pretty cool automation flow that I thought folks on HN here may be interested in reading about :) So here goes: Most of my interactions come through Intercom.…
2024
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I'm a VP of Engineering with 20 years in the field. I've been thinking deeply on why AI is breaking every engineering practice, and it led me to the conclusion that the Agile Manifesto's values need updating. The core argument: AI made producing software cheap, but understanding it is still expensive. The Manifesto optimizes for the former. This addendum shifts the emphasis toward the latter. Four updated values, three refined principles, with reasoning for each. Happy to discuss and defend any of it.
Mar 2026 · github.com
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Intellize.ai is a cutting-edge AI-driven observability platform designed to simplify developers' tasks. With our platform, developers can seamlessly search logs, craft dashboards, and configure alerts using natural language. We envision a future where developer tools offer an intuitive and streamlined experience, ensuring users receive precisely what they request. For example, traditional methods of sifting through logs can be cumbersome due to redundant and extraneous data. One way to address this is to ask Intellize.ai to group similar logs, enhancing clarity and efficiency. Our platform…
2023 · intellize.ai
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Build better hardware with AI for engineering requirements
24d ago · altium.com
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Hello Hacker News! We're excited to introduce DeskFlow, an AI-driven Slack and Microsoft Teams bot, designed to streamline HR and IT operations in your workspace. DeskFlow harnesses LLM to provide immediate answers to HR and IT related queries, functioning like an in-house expert. Its features include instant access to your knowledge base and HR system, automatic ticket routing, and soon, auto-drafting responses to inquiries. By integrating DeskFlow directly into your communication channels, employees save time and boost productivity by eliminating the need to switch context or apps. We'd…
2023 · deskflow.ai
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