Posts related to systems-thinking
39 posts
In the same 72 hours the US export-controlled Fable 5 off the planet, China's open-weight labs shipped two major coding models into the commons: Kimi K2.7 on June 12, GLM-5.2 on June 13. One model went dark behind a national-security letter; two more went open under MIT. The diffusion layer didn't pause for America's panic. It shipped through it.
Read more →When Washington export-controlled Fable 5 off the planet on Friday, the easy take was 'China wins.' That's the small version. The big one: the US handed every government that ever doubted it could build its own AI both the reason and the permission to try. Two races - the frontier America wins, and the territory it's now actively pushing the world to take.
Read more →Every hour you spend making the current generation of AI tools more compliant is an hour the next release writes off. I've documented this pattern for a year without naming it: frameworks absorbed, prompt tricks obsoleted, guardrails outlived. Here's the name, the receipts, and the one kind of scaffolding that survives.
Read more →Google led I/O 2026 with a cheap, fast Gemini Flash instead of a frontier behemoth, and everyone read it as conceding the top of the market. Wrong read. Cheap isn't a model strategy, it's a silicon strategy. Google owns every layer from the TPU to the search box, which is why it can give intelligence away while its rivals rent the compute to compete with it, some of them for $40 billion.
Read more →Everything in software got a fast mode this year except understanding what to build. The proof is in the labs' own org charts: the companies selling the models that supposedly end software engineering are paying $600k for engineers to go sit in customers' offices. The bottleneck moved all the way up to the conversation.
Read more →Ghostty left after 18 years. Zig, cURL, and Godot are reducing reliance. 48 major outages in a year, no CEO since August, reporting into the Core AI team. Centralising the world's code was a bet on stewardship. The steward stopped showing up.
Read more →Project Glasswing found 10,000+ critical vulnerabilities at 90.6% accuracy. Mozilla had to patch 271 of them in Firefox by hand. Finding collapsed to near-free. Fixing didn't move. The bottleneck just walked downstream.
Read more →Creation runs at machine speed. Release engineering does not. GitHub agent-authored PRs went from 4M to 17M in six months. The bottleneck moved from review to release.
Read more →Lightrun: 43% of AI-generated code changes need debugging in production after passing QA. CodeRabbit: 1.7x bugs, 2.74x security, 8x I/O. METR: 19% slower while feeling 20% faster. The numerator is what gets reported. The denominator is what nobody puts in the deck.
Read more →One engineer, one AI, eight pull requests closing a multi-root-cause production incident. The same day, a look at a shiny greenfield rewrite candidate. The gap between what AI helps you fix and what a clean rewrite can't give you is the entire argument.
Read more →78,557 tech layoffs in the first three months of 2026. Nearly half blamed on AI. A new study says AI tools actually slow workers down. The real driver is overhiring and weak earnings. AI is the PR shield.
Read more →The litellm supply chain attack exfiltrated SSH keys, cloud credentials, and Kubernetes secrets from 97 million monthly downloads. A security scanner was the entry point. The scariest part: it was caught by accident.
Read more →OpenAI launched its most capable model during the biggest credibility crisis in AI history. The technical gains are real. The trust deficit is bigger.
Read more →A viral chart shows AI coding agents as a single pixel in the world's population. Meanwhile, 660 million people have told a chatbot they love it. The AI industry is building for the wrong audience.
Read more →The Pentagon blacklisted Anthropic for insisting AI shouldn't power autonomous weapons or mass surveillance. Hours later, it gave OpenAI a deal with weaker guardrails dressed up as the same thing. From a developer who ships with Claude daily.
Read more →Cloudflare rebuilt Next.js in a week with one engineer and 800 Claude sessions. The real story isn't the speed - it's what happens when test suites become machine-readable specs.
Read more →Anthropic accused DeepSeek, Moonshot and MiniMax of industrial-scale distillation. The internet screamed hypocrisy. They're conflating two very different things.
Read more →35% of enterprises have already replaced SaaS with custom builds. The cost of building collapsed. The cost of buying didn't. And corporate procurement hasn't caught up.
Read more →AI collapsed the cost of rebuilding. Corporate decision-makers haven't caught up. The reasoning behind 'but we already built it' no longer holds.
Read more →Gemini 3.1 Pro's animated SVGs are impressive. But the bigger story is what they reveal: developers now route tasks to specialized models the way they once chose frameworks.
Read more →Five major releases in 72 hours. An acqui-hire war that closed in days. $2 trillion wiped off software stocks. The pace itself is now the story.
Read more →Anthropic's safety lead quit saying the world is in peril. Half of xAI's founders are gone. OpenAI dissolved two safety teams. Here's what that looks like from the other side of the API.
Read more →Tokens are nouns. Patterns are verbs. The missing layer is grammar: a shared vocabulary that spans Figma, web, and native without breaking when someone ships a 'small' change.
Read more →Anthropic's latest model didn't just improve benchmarks. It crashed software stocks, found 500 zero-days, and coined a term that tells you where this is heading.
Read more →Salesforce quietly walked back autonomous AI agents to deterministic scripting. The pattern reveals when LLMs work - and when they don't.
Read more →When AI agents started posting on their own social network about shared context limit problems, I realized we're not building tools anymore. We're raising digital pets.
Read more →100k+ GitHub stars across frameworks that reimport waterfall, simulate org charts, and fight how LLMs actually work. The Claude Code ecosystem is speed-running a mistake every dev paradigm makes.
Read more →75M monthly downloads. 80% revenue drop. 75% of engineers gone. AI didn't replace developers - it replaced the web as the interface layer. That's worse.
Read more →OpenAI's latest model isn't about better prompting - it's about better delegation. What that means for 2026, and how it compares to Opus 4.5.
Read more →Steve Yegge and Gene Kim explain why Claude Code 'ain't it' yet, why senior engineers are resisting, and what next year's tools will actually look like.
Read more →51% of web traffic is now bots - the first time machines exceeded humans. $238B wasted on fake impressions in 2024. Out-of-home is the fraud-proof alternative.
Read more →The human-facing web is dying. Zero-click searches, bot traffic exceeding humans, publishers losing 40%+ traffic. What comes next: an agentic web where sites are API endpoints, not destinations.
Read more →The arguments about vibe coding and junior developers miss what software engineering was always about: shipping products, not typing code.
Read more →HumanLayer's 12-factor agents codifies what works in production AI: own your context, keep agents small, stay out of the dumb zone.
Read more →Anthropic's engineering team published patterns for long-running agents. These same patterns - progress tracking, feature lists, session protocols - are what products like SpecPilot must solve at scale.
Read more →The PM/Eng split dissolved into product engineering. Now the traditional software development lifecycle is following suit as coding agents handle multi-hour tasks across planning, building, testing, and deployment.
Read more →Why coding interviews optimized for 2010 fail to identify great engineers in 2025, and why orgs can't adapt fast enough.
Read more →Claude Code loves to jump straight into implementation. Sometimes you need a model that thinks first. Here's how I use Codex for systems thinking and architecture decisions.
Read more →When expensive SSO was just a symptom of deeper architectural problems, we redesigned our multi-tenant system from first principles and cut costs significantly in the process.
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