Community Notes
2025-12-05 • Homborsund AI
Agentic coding is no longer a demo—it's landing in real workflows. Tools like Anthropic's Claude Code and OpenAI's Codex CLI are racing to make “work with my codebase” a first-class capability: grounded conversations on repos, structured planning, and iterative execution with safety rails.
The shift is from autocomplete to agents: tools that plan, apply precise patches, and validate outcomes against your types and tests.
“Claude Code was the first to make this feel real. There were earlier agent attempts, but Claude connected models, tools, and context engineering in a way that made CLI‑first development click for a lot of us.”
“You don’t really need a GUI. With text input + intent you get back working applications — fast. That unlocks a different way of building.”
The promise isn't just chat that can write functions; it's assistants that understand project intent, propose plans, change code surgically, and validate outcomes. Compared to earlier code completion tools, these agents can reason over broader context—tests, APIs, data models—and keep changes consistent with your architecture and type system.
In this repo, we lean on full TypeScript strictness and Convex for typed server functions. Pairing Convex's generated types with an agentic flow (via Codex) means we can move fast without losing safety: mutations and queries stay strongly typed end to end, and UI wiring catches mismatches early.
In another world, this stack could be a handful of paid SaaS tools. Instead, we’re vibe-coding it: owning our data, iterating quickly, and keeping everything composable and type-safe.
The interesting bit isn’t who “wins” but how both product lines are converging on a similar idea: practical agents that plan, apply changes, and follow house style. Claude Code pushes hard on grounded reasoning and careful edits; Codex CLI leans into open, scriptable workflows you can tailor to your repo. Both are rapidly improving at handling multi-file refactors, incremental diffs, and safety checks.
“OpenAI’s Codex CLI jumped a level in the last month. In places it’s now on par — sometimes better. Codex Web still lags the CLI; I’m excited to see them meet the same high bar.” — Øyvind
Install the terminal agent and point it at your repo:
npm i -g @openai/codex codex
Also available via Homebrew: brew install codex.
Install and launch from the terminal:
npm i -g @anthropic-ai/claude-code cd your-awesome-project claude
Editor/Desktop specifics vary — see the official guide: Claude Code setup.
This isn’t just about our repo. Agentic tooling bends the SaaS calculus: many teams will spin up focused, owned platforms with today’s cloud primitives — whether that’s AWS, GCP, Azure, or (like us) Vercel + Convex — and ship features at a pace that once demanded multiple subscriptions. Authentication, email, admin panels, ticketing, analytics — all increasingly feel “in‑reach” for an in‑house stack powered by strong types and agents.
This may read like it’s only for developers, but the strength here is a crisp specification. “User stories” feel dated when agents can mine org and personal context. We’re moving toward “intent stories”: describe desired outcomes, constraints, and signals of success — then let agents propose plans, patch code, and validate.
“The goal isn’t another backlog; it’s faster learning loops. Build, learn, throw away, repeat — as long as the spec lives on, we get better.” — Øyvind
This is an active area we’ll dig into face to face at our summits—tradeoffs, safety, and where these tools already pay off. Bring your questions and examples.