Introducing Devin killer on web - Nova by @supercodeai an open sourced ai engineer with: • agent threads • free pull request review • bug triage and fix • automations • app connectors - GitHub / Linear / Slack etc powered by @composio • cloud agent and variable compute(4gb to 64gb) • deep search for ai researchers powered by @getcontextdev @firecrawl • BYOK to use your own models(special benefits for @concentrateai users) • connect your own subs(opencode, claude, codex & more) and access inside nova now you can access Nova on both web and desktop.

@supercodeai review is now 10x faster and more precised than Coderabbit and Greptile in reviewing PRs even @capydotai verified it for context - time takes by resp. to review PR with - 27 file and 3053 changes : supercodeAI - 29 second(yes thats right <1min) greptile - 4m 51s coderabbit - 6m 33s note: coderabbit/greptile bots comments on the pr first, so that's not considered. it works irrespective of reviews.

🚨 we are launching credit based code review for @supercodeai review users users on free plan gets 20 credits/month Pro user gets $40 credits for just $25/month special benefits for enterprises and team, comment or dm me much more affordable and faster than Coderabbit and Greptile

@supercodeai is not just a harness anymore, it has been evolved something big, Nova- an AI Engineer introducing @supercodeai x @opencode now Nova users can access their Opencode subs into SupercodeAI and access Nova at its fullest capacity PS: users can also access Opencode Zen's free models

🚨 we're rolling out Nova - an AI software engineer by @supercodeai for mac users today ping me to try early version!

🚨 big update on Nova - an AI software engineer by @supercodeai Nova can now review your PRs and provide you complete analysis of your work and report you back to your team on Github, Linear, Slack and more PS: we're rolled out early invites for Nova comment Nova or DM me if you're interested!

Today we're launching Nova - an AI software engineer by @supercodeai. an oss alternative for @DevinAI by @cognition give it a task. It reads your codebase, plans the change, writes the code, runs your tests, reviews its own work, and reports back like a teammate would. a harness, an AI code review, and voice agent all in one system. completely open source. we're launching it on early personal invites. comment Nova or DM me for early access.

@supercodeai is now loved by 200+ developers and has been forked 40+ times. We’ve been quietly heads down shipping: > new agents > deeper reviews > and a better DX for teams running AI in production. If you’re building and want to plug an oss SWE agent into your workflow, now’s a good time! lot more going live over the next few weeks. launching lots of things soon... stay tuned!

using Astra to improve @supercodeai and tbh, the way it plans everything before implementation is pretty good approach it keep saving tokens on every step

@supercodeai desktop is way faster than cli when should i launch?

alright alright alright! been working on something lately for @supercodeai how is the UI??????

🚨 we’re looking for enterprises and engineering teams running serious codebases to offer supercode review👇 @supercodeai review is already benchmarking higher and costs 10x lesser than coderabbit & greptile on: → code review quality → bug & regression catching → security / vulnerability checks → overall review depth for this, we’re giving a 1 year free subscription plan to the first 10 enterprises / founders / eng leaders who jump in. ⚠️special benefits for YC startups you get: → ai-native code review tuned on your codebase → better security → fewer prod fires, tighter PR hygiene → slack / linear / discord integrations out of the box if you’re leading an eng team and want access, reply “supercode” or DM me “enterprise” with team size + repo size.

Introducing @supercodeai Review — AI code review that catches bugs before they ship to production! 🎉 Ship PRs that... ◆ get analyzed for critical, high, and medium severity issues automatically ◆ surface exact file paths, line numbers, and code snippets for every finding ◆ attach structured bug reports directly to your pull requests ◆ discuss your work on linear and slack with supercode review agents