# agents production (blogs) — RSS Amplifier Recent posts from the 3 feeds in the RSS Amplifier directory that cover agents production. Page: Feed: --- ## [From Vibe Coding to AI Operations](https://theagentarchitect.substack.com/p/vibe-coding-ai-automation-claude-code-codex) _2026-08-19 · Chris Tyson · The AI Agent Architect_ The seven principles I use to turn Claude Code, Codex and scheduled automation into a governed engineering workspace. ## [Tokenmaxxing And Return-On-Tokens](https://labs.adaline.ai/p/tokenmaxxing-return-on-tokens) _2026-08-15 · Nilesh Barla · Adaline Labs_ Learn why AI teams are moving from tokenmaxxing to cost per accepted outcome, and how product leaders and engineers should allocate AI intelligence efficiently. ## [The Model Is the Least Interesting Part of This AI Project](https://theagentarchitect.substack.com/p/building-an-ats-with-claude-code) _2026-08-13 · Chris Tyson · The AI Agent Architect_ I’m helping a friend build a new system for his business with a Claude Code engineering team. Almost everything that matters sits outside the model. ## [The First Question Isn’t Which Model. It’s Which Country](https://theagentarchitect.substack.com/p/ai-jurisdiction-screen) _2026-08-10 · Chris Tyson · The AI Agent Architect_ A UAE tender assumed in-country AI inference was broadly available. The Jurisdiction Screen found a much narrower answer. ## [How The Product Role Is Moving To Building And Verification](https://labs.adaline.ai/p/product-role-building-verification) _2026-08-08 · Nilesh Barla · Adaline Labs_ As AI speeds up execution, product leaders must focus more on product verification, evidence, judgment, and what is worth shipping. ## [The AI Agent Tax Nobody Talks About](https://theagentarchitect.substack.com/p/i-agent-cost-empty-chair-premium) _2026-08-07 · Chris Tyson · The AI Agent Architect_ Agentic autonomy has a price when you're not sat at your desk. ## [Is Your AI Project Really an AI Project?](https://theagentarchitect.substack.com/p/is-it-even-an-ai-project) _2026-08-04 · Chris Tyson · The AI Agent Architect_ Read the verbs before anybody prices the architecture. ## [Eval-First Product Design For Frontier AI Products](https://labs.adaline.ai/p/eval-first-product-design-frontier-ai-products) _2026-07-31 · Nilesh Barla · Adaline Labs_ Eval-first product design treats the evaluation suite as the product specification. A five-move operating pattern for frontier AI PMs. ## [Your AI Agent Has No ROI. That's Why You Want a Kill Switch](https://theagentarchitect.substack.com/p/ai-agent-token-cost-business-case) _2026-07-28 · Chris Tyson · The AI Agent Architect_ Nobody caps a Facebook campaign that returns $1.50 on the dollar. ## [What Product Leaders Should Stop Doing Now That AI Can Do It](https://labs.adaline.ai/p/what-product-leaders-should-stop-doing) _2026-07-25 · Nilesh Barla · Adaline Labs_ A practical framework for removing low-leverage work without outsourcing judgment. ## [Code Faster with Clear Tutorials (Sponsored)](https://crawlproof.com/a/BU435Xp7aXVV) _2026-07-25 · **Sponsored**_ Short, step-by-step coding videos you can follow along ## [5 Signs Your AI Project Is Dead on Arrival](https://theagentarchitect.substack.com/p/signs-your-ai-project-is-dead-on-arrival) _2026-07-24 · Chris Tyson · The AI Agent Architect_ Each one is readable from the business case. None of them is the model you chose. ## [How I Really Use Claude Code: Operate, Don't Generate](https://theagentarchitect.substack.com/p/how-i-use-claude-code) _2026-07-22 · Chris Tyson · The AI Agent Architect_ Nine months of building with a recurring requirement has changed my relationship with Claude Code. ## [Can ChatGPT Replace Power BI? Someone's About to Ask You.](https://theagentarchitect.substack.com/p/can-chatgpt-replace-power-bi) _2026-07-20 · Chris Tyson · The AI Agent Architect_ Every BI vendor has spent eighteen months rebuilding around conversational AI. ## [What Is An Agentic Stack, And Why Does It Matter More Than the Model?](https://labs.adaline.ai/p/what-is-an-agentic-stack) _2026-07-18 · Nilesh Barla · Adaline Labs_ An agentic stack routes work, controls context, permissions, verification, and approval, and matters more than the model powering it. ## [I Ran a Bank's Risk Model On An AI Agent](https://theagentarchitect.substack.com/p/ai-agent-cost-risk-model) _2026-07-16 · Chris Tyson · The AI Agent Architect_ Just because it passes functional tests doesn't mean it's financially viable ## [What Is Loop Engineering, and Who Owns It?](https://labs.adaline.ai/p/what-is-loop-engineering-for-ai-agent) _2026-07-11 · Nilesh Barla · Adaline Labs_ The loop engineer owns an AI agent's runtime. Three primitives, five maturity levels, and where the role emerges inside production teams. ## [Agent Replay Is A Product Surface, Not A Debugging Feature](https://labs.adaline.ai/p/agent-replay-product-surface) _2026-07-04 · Nilesh Barla · Adaline Labs_ Agent replay for production AI agents: what to capture in every trace, who it serves, and why to design it in from day one. ## [The Long-Horizon AI Agents Ceiling Is A Product Problem](https://labs.adaline.ai/p/long-horizon-ai-agents-planning-ceiling) _2026-06-27 · Nilesh Barla · Adaline Labs_ The planning ceiling for long-horizon AI agents is real and moving slowly. Five product moves now bypass it, including embeddings-as-memory for guardrail adherence. ## [What I Learned Rolling Out AI to 900+ Engineers](https://fastpaca.com/blog/what-i-learned-rolling-out-ai-to-900-engineers/) _2026-06-26 · Sebastian Lund · fastpaca_ I was hired to lead the AI rollout for 900+ engineers at a $2bn+ sports betting company. Sports betting is an older industry, and older industries tend to have a larger gap to close when technology moves quickly. You cannot drag everyone across that gap yourself. The only way to push AI adoption at that scale is to create internal sustained motion inside the company so people can keep moving… ## [The Self-Improving Agent Is A Production Pattern Now](https://labs.adaline.ai/p/self-improving-ai-agent-production-pattern) _2026-06-20 · Nilesh Barla · Adaline Labs_ The self-improving AI agent is a real production pattern now. What agentic harness engineering is, and the five layers that build one. ## [Install Manifest V3 Extension (Sponsored)](https://crawlproof.com/a/PKdRCh0xQ9UY) _2026-06-20 · **Sponsored**_ Get this Manifest V3 extension from the official TronBrowser Store listing. ## [The Hamster Wheel That Drains You](https://fastpaca.com/blog/hamster-wheel-that-drains-you/) _2026-06-19 · Sebastian Lund · fastpaca_ A good career can quietly turn into a hamster wheel that drains you. You work on a hard, ambiguous problem, solve it, people praise the solving, and you pick up a bigger problem within the same domain. People start to expect you to work on that type of problem. Your salary increases over time, scope grows indefinitely. It turns into a wheel. Being part of this wheel is hard to notice because it… ## [Chat Is the Wrong Default for AI Products](https://labs.adaline.ai/p/post-chat-interface-ai-products) _2026-06-13 · Nilesh Barla · Adaline Labs_ Why the chatbox became the default AI interface, the four patterns replacing it in 2026, and a three-question diagnostic for your product. ## [Building on a Moving Train](https://fastpaca.com/blog/building-on-a-moving-train/) _2026-04-29 · Sebastian Lund · fastpaca_ Every developer shipping AI right now has the same complaint: the developer experience is broken. Tutorials are out of date. Libraries have gotchas. Frameworks leak. “Solutions” need 3+ hacks to fit. Every deployment is bespoke. The primitives underneath AI engineering refuse to hold still. Model APIs, context windows, tool-calling conventions, agent frameworks, “best practices”: every layer… ## [Let's Build an AI Assistant That Remembers](https://fastpaca.com/blog/build-ai-assistant-that-remembers/) _2026-02-13 · Sebastian Lund · fastpaca_ A founder friend messaged me recently: When do we trigger compaction? Context is finite, so at some point we have to compress. Priority-based, task-specific, time-based… what have you tried? These are the questions most people start with. How do I compress? When do I trigger that? How do I retrieve what’s relevant? They’re the right questions, but going from concepts to a working implementation… ## [Ultimate Guide to LLM Memory](https://fastpaca.com/blog/ultimate-guide-to-llm-memory/) _2026-01-16 · Sebastian Lund · fastpaca_ Most LLM memory systems make your product worse. Engineers add them expecting a database. Instead they get something slow, expensive, and unreliable. Mention memory tools to anyone running agents in production and you get the same reaction: “It’s heavy.” “The latency kills us.” “Great in theory.” The problem isn’t the tools. It’s that there is no universal LLM memory . The industry uses several… ## [Design Your LLM Memory Around How It Fails](https://fastpaca.com/blog/failure-case-memory-layout/) _2025-12-05 · Sebastian Lund · fastpaca_ Thursday afternoon. Your security team pings you: Jon @blue-team: The Next.js RCE vulnerability just dropped. What version were we running on Monday? Were we exposed? Do we need to check logs for exploitation attempts? You: Wait what? What versions are affected? Jon @blue-team: 15.0.5, 15.1.9, 15.2.6, 15.3.6, 15.4.8, 15.5.7, 15.6.0-canary.58, 16.0.7 have been patched and are safe. You ask your… ## [Universal LLM Memory Does Not Exist](https://fastpaca.com/blog/memory-isnt-one-thing/) _2025-11-21 · Sebastian Lund · fastpaca_ Over the last few weeks, I’ve been digging deep into LLM memory systems. My last post described the techniques they use. Whenever I mentioned tools like Mem0 to engineers running agents in production, I got the same reaction: a collective sigh . “It’s heavy.” “The latency kills us.” “Great in theory.” I wanted to understand why. Systems like Mem0 & Zep are sold on the promise of reducing cost by… ## [LLM Memory Systems Explained](https://fastpaca.com/blog/llm-memory-systems-explained/) _2025-11-07 · Sebastian Lund · fastpaca_ LLMs don’t have memory. They’re stateless: each response requires resending the entire conversation history. Yet they reference earlier messages and maintain context across long interactions. How? LLMs do not remember anything LLMs are stateless. Each inference is independent. Generating a single output token requires processing all preceding tokens as input. To answer coherently the LLM needs… ## [Introducing Context-Store](https://fastpaca.com/blog/introducing-context-store/) _2025-10-31 · Sebastian Lund · fastpaca_ Every team building LLM apps hits the same wall: users expect full message history, but LLMs have hard context limits. The Problem Users often need to review and trust the full conversation history. LLMs need compaction to meet latency and token budgets. Those two requirements pull in opposite directions. So we built context-store to improve LLM latency while preserving full history for your…