Salesforce acquires Braze for $5.66 billion in an all-cash deal, paying $47.50 per share at a 58% premium. The deal folds Braze's real-time engagement and AI decisioning into Marketing Cloud, Data 360, and Agentforce.

Salesforce frames the deal around agentic AI, stating that marketers "now need agentic solutions that can understand customers, make decisions, and act in real time." The move lands as investors worry about a so-called SaaSpocalypse, where AI agents cut enterprise spend on standalone SaaS tools. Salesforce answers that fear by bundling AI-native marketing into one platform.

For early-stage and Series B founders running a lean marketing stack, this signals more consolidation ahead. Independent Braze looks like it's on borrowed time, so the safer move is watching how Salesforce integrates it before signing long-term contracts on either platform. Founders building standalone marketing tools face a clear choice: become an acquisition target or risk losing revenue to bundled platforms.

Your AI is only as good as what you feed it. Feed it a transcript with your product names, acronyms, and numbers spelled wrong, and you spend the afternoon hand-fixing the output.

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Russell Kaplan, president and cofounder of Cognition, says many software engineering tasks are now intelligence saturated. Once any model handles a task well, cost and speed become the real differentiators. Data from The Information shows a 10-point intelligence advantage now drives just 20% more developer traffic, down from nearly 69% in late 2025. For bootstrapped founders, this means a cheaper, faster model often clears the same bar for routine coding work.

Estimates of AI-written code in 2026 range from 25% to 75%, and the spread reflects methodology more than reality. Google self-reports 75%, GitHub Copilot telemetry shows 46%, and GitClear finds detectable AI assistance in about 25% of commits across 623 million changes. Adoption keeps climbing, with Google's DORA report putting AI use at 90% of developers. Small teams benchmarking their own AI output should treat any single headline number with caution.

dumbtv is a GitHub project that removes ads, telemetry, experiments, and Alexa from smart TVs. Users also strip out any additional apps they choose, and the tool targets a broad range of hardware. Developers build tools like this with AI assistants, including Claude, without deep prior experience in smart TV internals. The pattern shows how AI coding shrinks the gap between spotting an annoyance and shipping a fix.

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— Cagri Sarigoz
 
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