On June 13, the US government ordered Anthropic to pull Fable 5 and Mythos 5 under export controls. Sixteen days later, Fable 5 is still dark. The incident is a case study in a risk class most AI integrations have priced at zero.
Read →Google launched Gemini 2.5 Pro with Deep Think on June 22 and immediately set records on science, math, and reasoning benchmarks. SWE-bench tells a different story. Here is what the benchmark split reveals about how reasoning models fit into a software engineering workflow.
Read →M01–M14 are not stubs. Each module runs the full stack — UI to stored procedure. Here is what a vertical slice actually contains and why it matters for the first sprint.
Read →On June 24, Gartner predicted that by 2028, AI coding tool costs will surpass the average developer salary. The prediction is directionally right. What most coverage missed is what determines which side of that curve your team ends up on.
Read →SpaceX is acquiring Cursor for $60 billion. The market is pricing coding infrastructure at multiples most teams don't apply to their own build decisions. Code footprints are a distinct category worth understanding before you default to starting from scratch.
Read →Tokenmaxxing collapsed in May 2026 when companies realized 861% code churn wasn't productivity. Martin Fowler's VibeSec Reckoning followed. The pattern is the vibe-coding paradox: optimize the speed metric, miss the outcome.
Read →Alex Albert at Anthropic says working with Claude feels like managing a team, not using a tool. Ethan Mollick's research says AI skill is people management skill. The implication for B2B SaaS builders: if your codebase has no architectural context, the team has nothing to work from.
Read →AI generates code at the syntax layer. Engineers hold the structure. Martin Fowler and Kent Beck said as much at The Pragmatic Summit in February 2026. Here is what that means in practice for a B2B SaaS build.
Read →Tokenmaxxing promised AI productivity. Code churn went up 861%, and Fortune declared it dead by May 2026. The pattern — fast output with no architectural grounding — is the same one playing out in vibe coding shops everywhere.
Read →Every B2B SaaS team faces the build vs. license question. The math looks different when you account for what actually fills the first three months from scratch.
Read →Most legacy .NET systems weren't built badly — they were built for a different era. The path to .NET 8 is defined by boundary decisions, not big-bang rewrites.
Read →Andrej Karpathy called vibe coding 'passé' in 2026 and proposed 'agentic engineering' instead. For enterprise builders, the distinction isn't academic — it's the difference between a product and a liability.
Read →Technical due diligence on a software company follows a short list of questions. The answers either exist in the codebase or they don't — and the audit takes about 90 minutes to find out which.
Read →Gergely Orosz named the pattern: tokenmaxxing, gaming AI usage metrics the same way teams used to game lines-of-code counts. The real AI productivity signal is what ships — and that depends on the codebase underneath the agents.
Read →CleenUI ships 14 production-ready vertical-slice modules — M01 Security through M14 Vendor Marketplace. Here is what each one covers and why the modular monolith shape matters more than the count.
Read →AI-generated code is fast. In enterprise contexts, 45% of it carries OWASP Top 10 vulnerabilities. The paradox is not that AI cannot write code — it is that ungrounded speed accumulates differently than a slow, planned build.
Read →Templates accelerate the first week. Code footprints change the start line. Here is what the category distinction means and why it matters for every B2B SaaS build.
Read →CleenUI's data layer runs on Dapper and ADO.NET against 700+ stored procedures. Here is the reasoning behind that choice and why it still holds in a .NET 8 world where alternatives are more capable than they have ever been.
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