Jai Pradeesh (@dolftax) header
Jai Pradeesh (@dolftax) profile picture

Built DeepSource (acquired by Harness). Now building Harness Code. YC Alum.

SF
Joined April 2011
Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)Photo by Jai Pradeesh (@dolftax)
DeepSource has been acquired by Harness. Sanket and I started DeepSource on one bet: every line of code shipped should meet a high bar for quality and security, without a human having to review it. Over the last eight years, we built DeepSource from the ground up: static analysis across 20+ languages, Autofix in 2020, before automated remediation was a category, code formatting, coverage, SCA and security, and eventually AI-powered code review and remediation. The idea never changed much. Find problems before code ships, and fix as many of them automatically as we can. With agents producing code faster than humans can review it, there is a lot more of that problem to solve now. I’m proud that everyone from open-source maintainers to enterprises relied on DeepSource to ship better code. More than anything, I’m proud of the team that built it. Harness is building the Autonomous SDLC Platform to catch risks in software before it ships, and our vision aligns perfectly with theirs. I'm excited that DeepSource is joining forces with them and continuing our work. deepsource.com/blog/deepsour…
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Jai Pradeesh retweeted
Real life, baby
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Great talk by @danielhanchen. 3 hours well spent! #AIEngineer
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GLM 5.2 nearly doubles GLM 5.1 at patching real CVEs. We hand the model a vulnerable repo and it has to ship a patch that closes the actual exploit. A per-CVE security oracle runs the attack, confirms it no longer fires, and checks the fix didn't break the feature. No partial credit. GLM 5.1 → 5.2: 10.2% → 18.9%. Full eval dropping soon.
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for reference, Kimi K2.7: 17.6% DeepSeek v4 pro: 10.2%
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320+ npm packages compromised today: timeago.js, echarts-for-react, and hundreds of packages in the @antv ecosystem. Supply chain attacks aren't slowing down, and the triage bottleneck is getting worse. In monorepos, one vulnerable dependency can show up across dozens of sub-projects. Same CVE, different teams, unclear ownership. DeepSource now scopes OSS vulnerabilities per sub-repo in monorepo mode. Each sub-project gets its own Dependencies tab, with results scoped to the packages used by that sub-project. deepsource.com/changelog/202…
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don't think this has been rolled out yet
Claude Code weekly limits are increasing 50%, now through July 13. Live now for all Pro, Max, Team, and seat-based Enterprise users.
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Jai Pradeesh retweeted
Everyone should save their session history, did u know all your Claude code sessions get deleted every month unless you change that in settings.json? All that is valuable training data they’re keeping! So you should too. I have a few repos on GH to help you do this. Share it
thank you @0xSero for making github.com/0xSero/ai-data-ex… now i can tinker with @UnslothAI studio ^^
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DeepSource hit 82.42% F1 on OpenSSF CVE Benchmark, in our latest run. 100% precision, 71.95% recall. That's zero false positives across 83 real CVEs. Every alert is real. Hybrid analysis. Static gives you the deterministic baseline, AI fills the gaps on context-dependent vulnerabilities.
DeepSource AI Review now scores higher on the OpenSSF CVE Benchmark. Most importantly, we're seeing 4%+ gain on the F1 score. This means we're catching more real vulnerabilities without introducing a single false positive. Our precision hit 100% (zero false positives across 83 patched diffs) while recall climbed to 73.17%.
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Jai Pradeesh retweeted
DeepSource AI Review now scores higher on the OpenSSF CVE Benchmark. Most importantly, we're seeing 4%+ gain on the F1 score. This means we're catching more real vulnerabilities without introducing a single false positive. Our precision hit 100% (zero false positives across 83 patched diffs) while recall climbed to 73.17%.
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Jai Pradeesh retweeted
Introducing, DeepSource's MCP Server. This bring all of DeepSource natively in your AI agent. For instance, you can automate fixing code review issues in your PRs with DeepSource + Claude Code 👇
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New CVEs get exploited in under 5 days. Most teams don't notice for months. We just shipped continuous CVE monitoring in DeepSource. Hourly checks, automatic re-scans, instant alerts. deepsource.com/changelog
Studies suggest that most orgs take ~6mo on average to fix CVEs, but attackers exploit new CVEs in <5 days. DeepSource's new continuous CVE monitoring helps security teams change that. Our SCA engine now monitors vulnerability databases every hour. When a new CVE matches a dependency in your codebase, affected repos are re-scanned automatically and your team gets an email alert, so you can take action faster. Available now to all customers on DeepSource Cloud.
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Every AI tool in an enterprise setting has to go through the same scrutiny before it gets anywhere near production. Security, legal, and compliance all want answers to the same questions: - Where does inference happen? - Does my data leave my network? - Is my data used to train the model? - How many new DPAs does legal need to review? DeepSource Enterprise Server now supports Bring Your Own Key (BYOK). Plug in your own Anthropic, OpenAI, or Gemini keys, through Bedrock, Azure, Vertex, or direct API. All AI-powered features in DeepSource run inference straight from your deployment to your provider. Nothing passes through DeepSource Cloud infrastructure or third-parties. deepsource.com/blog/byok
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