Superlog is an open-source AI debugging platform that fixes production bugs automatically. Already using Datadog or Sentry? Superlog Responder plugs into your Slack alerts, investigates incidents, finds the root cause, and opens a mergeable PR. No telemetry yet? Superlog instruments your codebase with OpenTelemetry and fixes issues the same way. Fully customizable, vendor-neutral, and trusted with 90%+ PR acceptance rates.
This is the 2nd launch from superlog. View more
Superlog Responder
Launched this week
Responder is an AI bug-fixing agent that plugs into the Sentry or Datadog Slack channel you already run. One-click synch, no new telemetry to install. On every alert it investigates with full context, filters out the noise, and for real issues replies right in the thread with the root cause, the evidence, and a mergeable PR. Prompts, memory, repo access, and escalation rules are fully customizable, so you're building your own debugging agent, not renting ours.
Free
Launch Team
superlog
Mailwarm
superlog
@bengeekly thanks man, appreciate!
This is interesting, but I am wondering what is it that would make me switch from DataDog's own Bits AI (other observability platforms implementing their own agents nowadays to close the loop with a fix)? Just trying to figure out the relevant difference. Thanks.
Glam AI
superlog
@kristina__grits it's a tough process! our main criteria is:
- preventing false positives and noise
- making sure that the messages are relevant
What works the best so far is:
- having a handful of test cases that you can immediately launch and see the effect of any harness / prompt improvements
- reading full traces thoroughly (Boris Cherny's tip!) to rule out any tool / environment bugs.
our prompt is actually fairly minimal. agents are smart, they just need the right tools
Interesting approach! One question: how do you prevent the AI from proposing fixes that are technically correct but don't align with a team's architecture or coding standards? False positives are pretty common with automated debugging tools, so I'm curious how you handle that
superlog
@matheusdsantosr_dev Great question Matheus!
For coding standards: We allow you to fully customize your agent, including adhering to any architecture / guidelines in the repo.
For false positives: this is our core mission. Responder will only raise an issue if code + telemetry indicates real impact beyond reasonable doubt. I'm personally obsessing over all issues we raise (we instrument our own prod with Responder obviously).
Using an AI SRE like Responder is actually a great way to cut down on noise from alerting systems!
@arseniy_shishaev1 That makes sense. I like the emphasis on reducing noise instead of just automating debugging, that's usually the harder problem to solve. Thanks for the detailed explanation, and good luck with the launch!
TabAI
Congrats guys, going from a Sentry alert straight to a fix PR is sick, what changed after previous launch?
superlog
@igor_martinyuk thank you Igor! We just had many discussions with great companies where they weren't as interested with the improved telemetry experience. But they still wanted the issue triage and bugfixes.
So we decided to provide our harness as a separate product with a simpler onboarding and make sure more people can use what we're building at Superlog!
superlog
@igor_martinyuk main update is that you can now use Superlog Responder on top of your telemetry, while with Superlog you had to install Otel with us! Now it's literally 2 clicks, and you're bug-free!
Mailwarm
superlog
@bengeekly Thank you! We're obsessing over the quality of our triage and fixes. a big thing for us is to make issue messages relevant and grokkable.
for us, it's fundamentally an issue of taste and talking to users!
superlog
@bengeekly main goals are:
avoid false positives and unnecessary noise
make sure the messages are relevant
What has worked best so far:
keep a small set of test cases that you can run right away to see the impact of any prompt or harness changes
read the full traces carefully (a tip from Boris Cherny and mentioned by Arseniy in a previous comment) to catch tool or environment bugs before changing the prompt
Our prompt is actually very simple. Agents are already smart. They mostly just need the right tools.
Alconost Localization Lab
Sounds like a cool tool! Great that you're offering a free tier for folks to test out. How are you approaching growth? What's your ICP?
superlog
@margarita_s88 right now the vast majority of our users are startups, from seed to series B. technically anyone using sentry or datadog, who want to easily take care of fixing whatever breaks!