Lovable Labs Inc. raised $400 million in Series C funding and doubled its valuation to $13.3 billion. The company was valued at $6.6 billion in December. It will use the money to deepen enterprise integrations, add governance and permissions controls, train its in-house AI models, and grow staff to about 450 by year-end.
LiteLLM’s supply-chain was compromised, exposing terabytes of credentials tied to major organizations and potentially enabling further access. CloudSEK reported the compromised credentials were extracted in a 40-minute window in March from versions of LiteLLM downloaded via the Python Package Index. The incident changes how developers handle and verify LiteLLM packages and triggers credential rotation and incident response for affected systems and AI provider keys.
Google promoted Go as a language that gives AI coding agents guardrails by relying on a small syntax, static typing, and integrated tooling, while noting that these checks still can’t verify correct business logic or data access. A June 2026 study analyzed 278,790 inline review conversations and found human reviewers required 11.8% more review rounds for agent-written code than for human-written code. As a result, even code that passes tests can still break the next AI agent’s work, shifting more maintenance and review burden to human developers.
Kivicube is presented as a tool for creating AR experiences using AI. It says it requires no code. This positions the product as an AI-assisted, code-free way to build AR experiences, rather than reporting any independent news.
Blacksmith Software Inc. announced it raised $45 million to expand its continuous integration service for agent-generated code validation and cloud-based testing. The Series B was led by Peak XV Partners and values the company at $550 million. The company plans to use the funding to scale compute infrastructure as usage grows, with jobs up 5% to 10% week over week and more than 6,000 companies already using the service.
Lovable confirmed it raised another round at a $13.3 billion valuation, collecting a total Series C investment led by Menlo Ventures and the Scaleup Europe Fund. The company said the Series C brought in $400 million. As a result, it expands funding for its backend and broader vibe-coding business, including its in-house trained AI model and growing Google Cloud usage, while keeping investor participation wide.
Pickle Browser is described as a browser for an AI agent that runs locally in a window you can see. No specific dates, prices, or benchmarks are provided. As a result, the interface is intended to be usable without relying on a remote service.
Docling researchers released DocLang, an XML sub-language intended for LLMs to interpret document structure directly. The new design explicitly maps each semantic token to a single LLM token, with the DocLang syntax vocabulary capped at about 1,000 tokens. This shifts work from later, error-prone structure recovery to a canonical, machine-native representation that can reduce token usage and lower latency/inference costs.
Lovable raised $400m in a Series C round that lifted its valuation to $13.3bn, more than doubling from its prior December 2025 valuation. The round was co-led by Menlo Ventures and the Scaleup Europe Fund, managed by EQT, at a $13.3bn valuation. The funding will support expansion, including increasing headcount by 50% to 450 this year and continuing to use multiple AI models for its vibe-coding product.
Blacksmith raised a new $45 million Series B as its AI code-testing platform reached more customers and expanded its tools beyond continuous integration workloads. The round valued the company at $550 million, up from a $60 million valuation at its $10 million Series A less than a year earlier. The funding and customer growth are enabling Blacksmith to hire and broaden its coding-tool suite to help developers write, validate, and merge software faster.
AIO.GEO Protocol discusses an audit of an AI search structure and runs through dry-run fixes with “receipts.” No number or date is provided in the article excerpt. As a result, the discussion frames the changes as verifiable updates to the search setup rather than new features.
Lovable closed a $400 million Series C round valuing the Sweden-based vibe-coding startup at $13.3 billion. Its valuation more than doubled from $6.6 billion in December to $13.3 billion within eight months. The funding supports product growth, deeper integrations and security features, and expanding hiring and infrastructure partnerships, while also pushing toward using multiple AI model providers more flexibly and reducing response times via Cerebras capacity.
Resolution AI is presented as a tool that can run on top of an existing helpdesk system.
No specific number, price, or date is provided in the article text.
That means the only takeaway here is the general integration claim, not any measurable performance or results.
The post says you can make clones with Claude Code and Codex to help with your work.
The single concrete detail mentioned is Claude Code and Codex.
As a result, readers are directed to use those tools to produce clone-based outputs, with no further specifics provided.
Monolog is a new search or note-taking application that allows users to search their own memory and written content through conversational dialogue. The product appears to be in early stages with limited publicly available information about specific features or pricing. Users can interact with their own stored information through natural language rather than traditional search queries.
Preview launched an AI-native video creation and production platform that combines a video timeline with an infinite canvas and lets teams generate with any model while tracking assets. The company says more than 100 studios are already using Preview. As a result, generation, review, and production can move into a single collaborative workspace with source records for legal clearance, instead of being split across separate legacy tools.
RingCentral describes how it uses ChatGPT Work and Codex to speed up AI product development and to centralize operational intelligence across engineering and operations. The specific tools mentioned are ChatGPT Work and Codex. As a result, teams can connect engineering work with operations-focused insights in one AI-centered workflow, though this page provides no measurable outcomes.
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