New Crashlytics tools for faster crash debugging

I did some weekend reading into the recently released OlmOCR2 model by the Ai2 folks 📄🔎 A cool insight here is that you can scalably do RL on your document parsing model (specifically RLVR) in an automated fashion - without needing humans for feedback or creating the reward function for each document. The authors use Sonnet to generate an HTML scaffold to then generate tailored unit tests for each document. The unit tests themselves are deterministic, but the generation is through an LLM. The parsed outputs are scored against the unit tests, which creates feedback signals for the model. This is nice because: - Manually generating parsed ground-truth for documents is a pain in the ass - Manually generating tests for documents is also a pain in the ass - So scaling up data and signals for document understanding has been painful Blog + paper: https://lnkd.in/gp9c8pdB From our side, we’re constantly benchmarking all the latest OCR models in our LlamaParse pipeline. If you’re interested in parsing complex docs come check it out here! https://lnkd.in/g9Wpqn7w

DrDroid has built the most relevant context processor and retrieval solution for AI agents when querying your observability and infra stack to debug your alerts. Just connect your data sources, link your wiki/docs and click on the "Train your Agent" button. The DroidAgent, deeply educated in navigating your stack and how to query and interpret its data, indexes your information and uses it to investigate each incident with diligence, highlight most relevant evidence and recommend the root cause and fix with utmost clarity.

Most AI-generated code looks perfect… until you actually run it. Here’s how to catch the hidden errors like a builder who actually ships ↷ → Open your console. → Delete unused code. → Replace placeholder functions. → Watch network requests. → Test, commit, repeat. AI gets you 80% of the way. You bring the last 20%, that’s what makes it production-ready. Follow for more fixes that save founders hours, or book a free call, I’ll walk you through your debug session live.

New in VS 2026: ✅ Inline if-statement debugging (no hover needed) ✅ "Did You Mean?" AI file search ✅ Adaptive Paste (context-aware code integration) ✅ Mermaid chart rendering in Markdown ✅ AI profiling agent ✅ 11 new color themes Enterprise development just evolved. #VS2026

Grok 4 Fast has a massive 2M token context window that unlocks enterprise-scale reasoning It easily remembers ultra-long chats, huge codebases, or hundreds of pages in a single go The best part? xAI just updated it with massive performance gains: Reasoning mode: 77.5% ➝ 94.1% Non- Reasoning: 77.9% ➝ 97.9% Grok 4 Fast delivers near-flagship results with up to 98% lower cost

AI is changing how software gets built, reviewed and secured. But when it breaks, no one agrees who’s at fault. In our 2026 State of AI in Security & Development report, we asked 450 CISOs, developers and AppSec engineers how AI is reshaping accountability across teams. The answers say a lot about how fast the industry is changing and how far we still have to go. Full report -> https://lnkd.in/dtKF8WFg

It may seem counterintuitive and definitely off-narrative, but "I cannot confidently answer this question," is the answer you've been needing more from LLMs.

Your runbooks are obsolete in the age of agents Ryan is joined by Spiros Xanthos, CEO and founder of Resolve AI, to talk about the future of AI agents in incident management and troubleshooting, the challenges of maintaining complex software systems with traditional runbooks, and the changing role of developers in an AI-driven world. https://lnkd.in/eb2Af-Gt By Phoebe Sajor

Your runbooks are obsolete in the age of agents Ryan is joined by Spiros Xanthos, CEO and founder of Resolve AI, to talk about the future of AI agents in incident management and troubleshooting, the challenges of maintaining complex software systems with traditional runbooks, and the changing role of developers in an AI-driven world. https://lnkd.in/eb2Af-Gt By Phoebe Sajor

Your runbooks are obsolete in the age of agents Ryan is joined by Spiros Xanthos, CEO and founder of Resolve AI, to talk about the future of AI agents in incident management and troubleshooting, the challenges of maintaining complex software systems with traditional runbooks, and the changing role of developers in an AI-driven world. https://lnkd.in/eb2Af-Gt By Phoebe Sajor