404 summarised stories about AI Coding Agents, each linking back to the original source. Browse all topics →
SiliconANGLE 1 month ago 49 ● 5 sources
Cognition AI raised more than $2 billion in late-stage funding at a $48 billion valuation. Revenue run-rate has moved from about $492 million at its May round to close to $900 million now. The company expands its agent-coding platform and investor base, including new Series E leads Andreessen Horowitz and Accel, while existing backers returned.
The New Stack 1 month ago 24 ● 2 sources
Anthropic is facing a class-action lawsuit over Claude Max subscription claims that promise 20x more usage than its Pro plan but still impose a separate weekly usage ceiling that developers hit. The complaint says weekly limits were introduced in late July 2025, after Max launched in April, while Anthropic continued marketing the 5x/20x multipliers. If the plaintiffs win, AI providers may have to disclose usage-reset timing and other restrictions more clearly before customers subscribe.
TechCrunch 1 month ago 49 ● 5 sources
Cognition raised $2 billion in funding for its coding assistant Devin at a $48 billion valuation. The company said its annualized revenue run-rate grew from $492 million to $900 million since its May round at a $26 billion valuation. Investors’ backing and the new funding should let Cognition expand and train its own model to reduce reliance on costly third-party AI models and target breakeven.
SiliconANGLE 1 month ago 31 ● 10 sources
Mistral AI SAS closed a €3 billion funding round led by Samsung Electronics, bringing its valuation to more than €20 billion. The round raised €3 billion (about $3.49 billion). The new capital will be used to buy computing infrastructure for AI training projects and to expand internationally.
IEEE Spectrum 1 month ago 46 ● 8 sources
AI coding tools are generating large volumes of code quickly, but teams report that the review phase is becoming harder because AI output can look correct while hiding faults. In a Sonar survey of more than 1,100 developers, respondents estimated AI contributed 42 percent of added code while 96 percent did not fully trust it. Companies are changing code review workflows by adding pre-generation specifications, using AI agents for early checks, routing risky changes to humans, and making developers justify agent-produced code to prevent “theater” approvals.
The New Stack 1 month ago 46 ● 8 sources
Two industry leaders, John Bristowe and Viktor Farcic, are set to debate what catches bugs when AI-generated code floods pull requests. The live event is scheduled for Tuesday, September 29. The conversation reflects rising defect rates tied to AI-assisted coding and pushes teams to consider whether verified pipeline checks can replace—or supplement—human code review.
danluu.com 1 month ago 5
The author evaluated agent-generated Rust implementations by running 26 different prompt conditions that asked agents to use specific test/verification techniques or libraries when implementing Zstd. The study tested 26 prompt conditions across different techniques and skills. Overall, no approach wildly outperformed the baseline, and agents often applied named techniques superficially or wrote poor tests rather than using verification effectively.
Product Hunt 1 month ago 45 ● 2 sources
AutonomyAI launched “Autonomous Product Delivery” as an end-to-end system that runs discover, plan, build, verify, and delivers review-ready pull requests from a product team’s real codebase. It is the 5th launch from AutonomyAI and adds “Discover Mode,” which researches analytics, tickets, calls, and code. Product teams can now use autonomy to complete more of the delivery loop instead of only accelerating coding.
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24 October 2026
AI’s center of gravity keeps shifting from “chat” to action, and today that shows up in the places people actually talk: texts and voices. Instinct, which just raised $1 billion and is now valued at $10 billion, is pushing AI agents that live inside SMS and iMessage/RCS and then do chores—scheduling, shopping, research—without asking users to install yet another app. Under the hood, developers are getting more serious about state. Letta’s agentic engineering copilot leans on “Core Memory” and shared, updatable state blocks, plus semantic retrieval and custom tools; in the tutorial, it bulk-loaded six knowledge passages into archival memory so the system can persist project context across turns and coordinate among agents.
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