Ops AI by Middleware - Observability copilot to resolve production issues instantly
byโข
Ops AI is an observability co-pilot that detects production issues across various sources, including APM traces, RUM, and logs. It then fixes these issues with a single click and generates a pull request in GitHub.
Replies
Middleware
Hey ๐ Product Hunt!
Iโm Laduram, founder and CEO of Middleware. Super excited to introduce our latest launch: Ops AI โ your observability co-pilot that not only detects issues in production, but actually fixes them.
With Ops AI, resolving production problems becomes as simple as clicking a button. When something breaks, youโll get an alert. From there, just ask Ops AI for a fix โ it analyzes the issue, identifies the affected code using GitHubโs MCP server, and automatically creates a pull request with the fix. No more digging through logs or guessing root causes.
Why Ops AI?
Middleware is a full-stack observability platform โ we do infra monitoring, APM, logs, RUM, synthetic monitoring, and browser testing. That means we have complete context when something goes wrong and can resolve issues faster and smarter than traditional tools.
To celebrate our launch, weโre offering an exclusive 2 million free tokens and 1TB of data ingestion for the next 30 days โ just sign up in the next 24 hours!
Would love to hear what you think ๐
Thanks for the support,
Laduram + Middleware team ๐ซถ
Middleware
@laduramvishnoiย Developer spend almost 60% time on troubleshooting and resolving production issues. Thats huge.
So, to overcome that, we have announced the launch of Ops AI, a powerful new tool that autonomously detects and resolves application issues in production environments. In early testing, the feature enabled engineering teams to improve productivity by nearly 80%.
I believe it will significantly streamline your workflow and save developers' valuable time.
Let us know how you are adopting AI to troubleshoot and resolve product issues in your company.
Big congratulations on the launch, Team Middleware.
@laduramvishnoiย Congratulations!! Really excited to try the product. Can you send the link?
@laduramvishnoiย congrats guys, lets go ๐ค๐ป
@laduramvishnoiย hey congrats man!! really excited for this ๐
@laduramvishnoiย Siiuuuu!!! lesgo really excited
Middleware
Enhancing Development Efficiency with Ops AI by Middleware
The OpsAi feature significantly enhances the software development lifecycle by providing robust capabilities for issue detection and root cause analysis in released code. Leveraging a powerful AI tool, OpsAi accurately identifies the origin of code-related issues, streamlining the debugging process for development teams.
Beyond identification, OpsAi also offers proactive resolution by suggesting potential fixes. This advanced functionality includes the ability to generate pull requests (PRs) directly within the Git repository, incorporating the suggested source code changes. Development teams can then review and merge these PRs, rapidly resolving identified issues.
It's clear that the concept behind the @Middleware Ops AI is all about empowering development teams and dramatically accelerating software delivery. It truly is a powerful, next-generation feature. ๐๐
Middleware
@rajuj6ย Thank you Raju! Great job
@rajuj6ย yes raju ji, this is big huge congratulations ๐ฅ
Middleware
๐ Huge congratulations to the entire Middleware team on the successful launch of Ops AI ! ๐
Ops AI is redefining how engineering and SRE teams will debug the issues at hand, with AI-driven observability, intelligent root cause detection.
Observability users will not just get the issues highlighted, now they will get the solution as well, all they need to do is review the solution !!
It's been an incredible journey building this together with the Ops AI team โ from brainstorming to shipping something truly impactful.
Letโs keep pushing boundaries. Onwards and upwards! ๐
Middleware
@bhogayatakbย Thank you Keval! lets gooooooo...
Middleware
Great work team!! Congratulations on your successful launch.
Middleware
@shruti_saraswatย Thanks! Really appreciate.
Middleware
Built by developers, for developers โ Ops AI.
No more spending hours digging through logs or debugging production issues.
Let Ops AI handle all of that so developers can focus on building, not fixing.
Our goal is simple โ save time and boost productivity.
With that in mind, we built Ops AI.
It automatically collects application issues in real time, finds the root cause, generates a fix, and raises a PR โ so developers can just review and merge.
Would love to hear your feedback.
Congratulation team @Middleware for building product which actually helps developers in solving problems.
Middleware
@vivek_tilva1ย Thanks, Vivek! It was the result of the team Middleware's hard work.
Middleware
@vivek_tilva1ย Thanks for your support, well done!
All the best for the launch @laduramvishnoi & team!
Middleware
@parekh_tanmayย thanks, Tanmay! Appreciate your time for wishing us.
todai
200+ integrations from the launch? Wow... great work, guys.
The key feature is here, zero reason not to test it right now.
Middleware
@goshatirovย Thanks, Gosha! Please do let us know your feedback once you test. Can't wait to see you there.
Paraflow
I found its function of automatically analyzing, identifying, and creating requests to resolve production issues so full of observability! Congrats on the launch and great work!
Middleware
@pulin_yuuuย Thanks, Pulin! Thats the future of observability, developers consume most of their time on troubleshooting issues, so once it is automated, it can make them more productive.
BetterBugs.io
Nice launch, Congratulations @laduramvishnoi , @sawarams
The positioning makes sense, turning observability into something actionable, not just passive monitoring. Ability to auto-identify the affected code and generate a pull request directly from production alerts is a practical next step for modern incident response.
What I also find useful is the context advantage Middleware already has, since it covers infra, APM, logs, and more, the AI has a better starting point than standalone tools.
Curious to see how teams control the auto-fix part, especially in terms of review workflows and confidence thresholds.
Middleware
@nishilp81ย Thanks for the comment. Yes, mostly Ops AI does not read your entire codebase, but rather only reads what is essential to particular workflows and then pulls a request to fix it.
Claap
Interesting product, will push it to my tech team and see what they think about it ๐
Congrats on the launch!
Middleware
@seantiffonnetย Great thanks Sean! This means a lot to us. Do try and let us know if this is useful for you.