Google’s AGY CLI is fast, unified, and finally dev-first—one interface, one auth, sub-second Go latency. But closing a 100k★ “open” repo and forcing migration in 30 days erodes trust. inspiredbytech.substack.com/…

AI agents shouldn't die when you close your terminal. Inspired by #OpenClaw, I built 𝗵𝗲𝗮𝗿𝘁𝗯𝗲𝗮𝘁: a 0-config Rust daemon for agentic scheduling. Persistent, lightweight, and agent-native. Bst 4 those who find cron clunky. Try it: github.com/mahpatil/heartbea… #AI #Rust #OSS

I watched a script wipe 3 months of UAT data. Claude Opus hit a mismatch, went hunting for a fix, & deleted the volume. Stop giving agents broad admin rights bc u think they’ll "know" where to stop. They wont. We need Zero Trust. Use this guide to secure agent-threat-profiler.vercel…

Managing API keys is one of the top security concerns we hear from customers. Today we’re introducing keyless auth for Claude Platform: authenticate via browser with the CLI, or let workloads use their existing cloud identity (AWS, GCP, Azure, or any OIDC token provider).

Behind every great product is a hidden journey! ✈️📦 The eye-opening lessons about the power of the supply chain. It’s the secret sauce to tech success! ✨ Read the story here: open.substack.com/pub/inspir…

Sensible move, and also shows a huge industry shift as organizations plan for the future of machine/agent workers. This is also going to hurt the market and economics of cost optimizations a bit.

OpenAI’s secret weapon? Killing their own products. While others cling to "side quests," OpenAI pivots fast to focus on what pays: coding & productivity. Ship it, kill it, move on. 🚀 #OpenAI #AI #ProductStrategy

Claude Code’s source leak is a $2.5B lesson: AI agents are powerful, but security debt is real. Treat agents as insider threats: trust nothing, verify everything, monitor continuously. #AIsecurity inspiredbytech.substack.com/…

Claude code source code has been leaked via a map file in their npm registry! Code: pub-aea8527898604c1bbb12468b…

Based on everything explored in the source code, here's the full technical recipe behind Claude Code's memory architecture: [shared by claude code] Claude Code’s memory system is actually insanely well-designed. It isn't like “store everything” but constrained, structured and self-healing memory. The architecture is doing a few very non-obvious things: > Memory = index, not storage MEMORY.md is always loaded, but it’s just pointers (~150 chars/line) actual knowledge lives outside, fetched only when needed > 3-layer design (bandwidth aware) index (always) topic files (on-demand) transcripts (never read, only grep’d) > Strict write discipline write to file → then update index never dump content into the index prevents entropy / context pollution > Background “memory rewriting” (autoDream) merges, dedupes, removes contradictions converts vague → absolute aggressively prunes memory is continuously edited, not appended > Staleness is first-class if memory ≠ reality → memory is wrong code-derived facts are never stored index is forcibly truncated > Isolation matters consolidation runs in a forked subagent limited tools → prevents corruption of main context > Retrieval is skeptical, not blind memory is a hint, not truth model must verify before using > What they don’t store is the real insight no debugging logs, no code structure, no PR history if it’s derivable, don’t persist it

AI rewired the threat model. The perimeter is gone. The question isn't if your agents will be tested — it's whether they'll survive. Checkout: agent-threat-profiler.vercel… for details. A downloadable PDF with the full framework is also available.

I ignored speech-to-text for yrs… until a swollen elbow forced me to rethink. Physio asked was I hammering my keyboard, so I tried voice input. Wispr and Mac dictation were way better than I expected—accurate, fast. I’m not going back to typing everything. Have you tried voice?

Stripe ships 1,300 AI-written pull requests every week, so, what is stopping you? Stripe claimed recently their minion pull requests have not a single line of code written by a human. 🤯 stripe.dev/blog/minions-stri…

SW eng shld be boring We used to chase thrill — war rooms, late nights, hotfixes But drama ≠ success. Excitement = 🚨 • something broke • risky call • preventable issue Boring tms: • smooth releases • quiet on-call • predictable arch Best ones learn & impr

A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns. Every chapter is code-backed and covers the frontier of AI systems: → Prompt chaining, routing, memory → MCP & multi-agent coordination → Guardrails, reasoning, planning This isn’t a blog post. It’s a curriculum. And it’s free.

Introducing a new upgraded vibe coding experience in @GoogleAIStudio. You can now turn any idea into functional, production ready apps. Build multiplayer games, collaborative tools, apps with secure log-ins and more.

DuckDB 1.5.0 shipped with 17% TPC-H boost, VARIANT for semi-structured data, GEOMETRY built-in, and non-blocking checkpointing — turning it from “fast query tool” into a serious embedded analytics engine. #DuckDB

Copilot Cowork: Claude as brain inside MS365. Trust at scale ↳ Multi-step agentic tasks across Outlook, Teams, SharePoint, Excel ↳ Inside Microsoft’s security and governance boundary ↳ Anthropic subprocessor, with enterprise protections

Software engineering is meant to be boring — that’s a feature, not a bug. The best teams have: • Quiet on-call • Uneventful releases • Predictable architecture • Happy customers Excitement is a warning sign. Real success = boring teams shipping boring changes consistently.