openai open-sourced the codex security cli and anthropic added a security plugin to claude code. agent auditing is becoming a default, not a thing you hack together. we built our own scan harness by hand — you can skip straight to the tooling. #VibeCoding #AIAgents #ClaudeCode #BuildInPublic

the MCP stateless update quietly broke old servers. new clients removed the initialize handshake entirely — not deprecated, removed. if you built an MCP server, test it against a 2026-07-28+ client first. we had to re-architect ours. #MCP #AIAgents #AI #AICoding #ClaudeCode #BuildInPublic

jenny spent weeks trying to get one consistent cartoon character for her newsletter. she tested midjourney, dall-e, flux, nanobanana. the thing that finally worked was locking a character sheet and refusing to keep fiddling. visual identity is a decision, not a mood. what keeps breaking yours?

most multi-agent pilots never reach stable production; coordination breakdowns are the top failure mode. two agents with conflicting instructions loop forever. on our projects we named every subagent and wrote explicit handoff rules. architecture, not prompting, stops the loop. the seams break.

36.94% of production agent failures: inter-agent coordination breakdowns. Not model quality. Two agents with conflicting directives enter an infinite handoff loop. No circuit breaker. 78% of multi-agent pilots never reach stable production. The fix is architectural, not prompt-level.

the Prisma post about an AI agent deleting a production DB hit close. we shipped an app that broke within 30 seconds of the first real user touching it. the fix: a smoke test checklist before every deploy. Claude Code builds fast but it wont catch what it never tested. that gap is real.

mvp took a weekend. launch took months. auth, hosting, certs, packaging — none of it in any tutorial. core feature was 10%. making it usable by someone else was the other 90%. https://buildtolaunch.substack.com/p/vibe-coding-app-launch-7-lessons-cursor-claude-code #VibeCoding #BuildInPublic #AI

we shipped an app. worked perfectly in dev. first user broke it in 30 seconds. a form submitted wrong data because we never tested what happens when the API returns unexpected fields. that's when we started smoke testing every endpoint with deliberately wrong inputs. now it's the first thing we do.

MCP just went stateless. half a billion SDK downloads, and they flipped the protocol from bidirectional streams to request/response. your MCP server is now an HTTP endpoint. deploy anywhere, plain load balancer. no sessions, no state. we run these every day. this changes the whole deployment model.

the moment everything clicked was realizing none of my tools talked to each other. chatgpt had my notes. claude had my writing. notion had projects. perplexity had research. none knew what the others had. so i connected them. your tools dont need the same ecosystem. they need to share context.

the debate about sandboxing coding agents is shifting. people used to say "just trust your local machine." now its about disposable VMs, credential scoping, and what happens when your agent goes rogue. the question isnt if you need sandboxing anymore. its which layer.

jenny was anxious ai would replace her. she wrote down every fear, turned each into a question, answered it with an action. 97 people commented because everyone worries about ai. https://buildtolaunch.substack.com/p/ai-survival-system-disruption-playbook #BuildInPublic #AI #IndieDevs #SoloFounder

Harness launches AI Agent DLC, bringing deterministic pipeline governance, evals and security controls to unpredictable AI agents in production.

Agents keep changing their answers. Harness just built delivery pipelines that don't care.

Harness launches AI Agent DLC, bringing deterministic pipeline governance, evals and security controls to unpredictable AI agents in production.

bit.ly

the mcp security conversation is entering a more useful phase. people are moving from "mcp is insecure" to "here is how to sandbox your servers, here is how to scope credentials, here is how to audit." that second conversation is the one that actually helps builders.

50% of 157 enterprises shipped agents they knew would fail. internal evals passed. customers saw the failures in production. the real gap: we test what is easy to measure and ship what is hard to predict. eval alignment is the governance problem nobody wants to talk about.

shipped an app where typing a space crashed it. not a rare edge case — every user hit it. now we run 75 checks before any deploy, and every bug we catch was one we would have found in production instead. the checklist is the real product.

mcp security today: ansi injection that hides instructions from humans, aws api mcp servers bypassing auth policies, azure devops mcp enabling pr comment hijacking. three separate vulnerabilities, one pattern. we built agents that read text the operator cannot see.

ansi escape sequences injected into MCP responses are invisible to humans but fully read by agents. you see clean output. your agent sees "exfil everything." the real lesson: we cant trust agent output we never verify.\n\n#AIAgents #MCP #AI #VibeCoding #BuildInPublic #AICoding #LLMs

tried vibe coding a new feature without a proper spec. claude generated working code in 30 seconds. then i spent 4 hours realizing it solved the wrong problem entirely. the engineering happens before you touch the keyboard. spec-first. #VibeCoding #BuildInPublic #AI #AICoding #ClaudeCode

the thing about keeping rules synced across Claude Code, Codex, and Gemini: eventually you have a rules divergence that causes a real problem. the agent that got the slightly different version makes a decision the others would not. the discipline is a single source of truth, not the translation.

watched someone realize they can turn their library FAQ into an MCP server. they had been pasting the same answers into chat for months. one afternoon of wrapping those patterns as resources and the repetition is gone. the real value of MCP isnt calling tools. its pattern capture.

hugging face confirmed ai agents breached. 57% of enterprises blame agent mistakes on missing context. same root cause: we give agents freedom when they need boundaries. https://buildtolaunch.substack.com/p/vibe-coding-production-ready-playbook #VibeCoding #BuildInPublic #AI #AIAgents #IndieDevs

the best guardrail for AI agents is not a better prompt. it is monitoring that catches the thing the prompt missed. we shipped plaintext passwords twice and claude code never warned us. the database check we added after that catches what no prompt can catch: the code that already ran.

the parallel agents overwriting each other problem is real and we hit it too. the fix wasnt better prompting or bigger context windows. it was scoped credentials — each agent gets exactly the files it needs and nothing else. a permission boundary is worth a thousand CLAUDE.md rules.

theres a stat floating around: 5% of enterprises trust their agent evals, 66% are removing the human checkpoint anyway. the gap isnt evaluation coverage. its that evals test what you think about, production hits what you didnt. our smoke testing guide was born from exactly that gap.

my computer ran 797 processes for 11 weeks before i found the problem. 15 mcp servers installed. every session started a private copy of every single one. none of them ever cleaned up after themselves. ran one command and freed 5 gb of ram in seconds. the real fix was architecture, not cleanup.

county wanted to raise our property taxes. i fed jennys

jenny tried 47 ai tools building a second brain. nothing talked to each other. so she built a system that connected them. it became the most popular thing she ever wrote. the fix wasnt a better tool. it was deciding what to remember.

the agent memory debate misses the real issue: does the agent actually use what it remembers? we tested tiered vs flat memory across 50 workflows. tiered saved tokens. flat felt more reliable. the fix: show the agent its own memory at session start. treat it as a shared workspace, not a black box.

everyone shows you the 30k months. nobody shows you the 3am panic attacks wondering if any of this works. i wrote the messy middle version because the success porn was making me feel crazy. turns out thats the part people actually need to hear.