Hi, I’m Archit
Notes on building AI agents that ship
Essays on agents, context engineering, and the runtime around the model. Written from the production side. New posts most weeks. More about me · what I’m working on.
Timeline
- Claude Security hits beta; Codex, Cursor, Grok ship agent upgradesAnthropic ships Claude Security in public beta — code-vuln scanning becomes a real product. Plus: Codex CLI persisted /goal, Cursor Security Review, Grok 4.3 with 1M context.
- Pentagon picks 8 AI vendors without Anthropic; Cursor SDK shipsThe Pentagon greenlit eight tech firms to run AI on its classified networks and pointedly excluded Anthropic; meanwhile Cursor turns its agent runtime into a TypeScript SDK and Claude Code 2.1.126 ships project-purge tooling.
- GPT-5.5 ships with hosted shell; OpenAI breaks Azure lock-in to AWSOpenAI launched GPT-5.5 with a 1M-token context, hosted shell, and native MCP — and within 48 hours AWS Bedrock began hosting OpenAI products, ending five years of Azure exclusivity.
- Prompt → Context → Harness: three layers of LLM engineeringThe same task gets bigger and more system-shaped as you climb. A hands-on tour of the three layers — with code, diagrams, and the concrete differences between them.
- Cursor opens its SDK, ships security agents; Codex CLI lands /goal workflowsCursor pivots from IDE to agent platform in a single week — TypeScript SDK in public beta, Security Reviewer agents that comment on every PR, and a Team Marketplace — while OpenAI’s Codex CLI 0.128 ships persistent /goal workflows and Claude Code v2.1.126 lands project purge.
- Cursor SDK lands; Codex, Claude Code, OpenCode all ship in one weekCursor opens its agent runtime to everyone with a public TypeScript SDK; Codex CLI ships /goal workflows, Claude Code adds PostToolUse output rewriting, and OpenCode keeps shipping — coding agents become a programmable substrate this week.
- Welcome back — what this blog is nowAfter a year of building agents instead of writing about them, I’m starting again — with a different shape. Less tutorial, more second-order.
- AI AWS DEVOPS
- AI Trip PlannerIntroducing the latest innovation in my AI assistant series: the Travel Planner Assistant. This assistant is a game-changer for anyone looking to travel, whether… Read more: AI Trip Planner
- AI Cricket Bot(IPL)In the evolution of my AI agent creations, I’m excited to introduce AI Cricket Bot in the series, specifically tailored for cricket enthusiasts. This… Read more: AI Cricket Bot(IPL)
- AI DeveloperIn my last post, I discussed how generative AI has the power to revolutionise the typical duties of a Project Manager by automating complex… Read more: AI Developer
- AI Project ManagerRevolutionizing Project Management: The Rise of AI Project Managers As a developer, my firsthand experience with an AI project manager that leverages Google Sheets… Read more: AI Project Manager
- AI Part 2: Chain the A.IAI Chain In our last blog, we delved into the world of Large Language Models (LLM). Moving forward, this post will explore the concept… Read more: AI Part 2: Chain the A.I
- AI Part 1: Everything & yet nothing about LLMWhat is Large Language Model? It’s essentially an advanced form of generative AI, specifically designed to understand and generate human language, trained on vast… Read more: AI Part 1: Everything & yet nothing about LLM
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