Traycer

Introducing Epic Mode. A better way to capture intent, plan work, and ship with AI, without drift. 🎥👇

Other updates in this release: GPT-5.4 support: better reasoning across workflows MacOS Antigravity support: run Traycer seamlessly inside Antigravity

With model profiles, you can: • Build custom profiles with specific models for planning, review, and orchestration • Choose Balanced, Frontier, or a custom profile based on task complexity • Instantly switch profiles mid-task as your needs change Learn more about model profiles: docs.traycer.ai/tasks/models

Model Selector is Live in Traycer You can now choose the exact models powering your workflows. Create custom model profiles with different model combinations for different tasks. Includes two presets to get started: • Balanced • Frontier More control over how your agents think and execute.

Org Credit Bundles & Referrals are live! 🔥 - Buy shared credit pools for your workspace & set monthly limits for individual team members. - Invite friends and get credits. You get 10 credits, they get 10 credits on their first payment! platform.traycer.ai/referrals

Traycer is now powered by GPT-5.3-Codex! ⚡️

me after running traycer + claude for the first time

Specs are now powered by Claude Sonnet 4.6 ⚡️

@filiksyos Good job fili

I built an app where you enter an X username and you chat with an AI version of that person Planned with Traycer, executed with Claude Code and debugged with Cursor try it here: xpersonalitychat.vercel.app

@sachinadlakha18 Great to hear that! You can start by installing the Traycer extension in your IDE: traycer.ai/install

@TraycerAI I like a lot of things about it, where to start

We let an AI agent build an entire comic-sharing website while we grabbed coffee. Bart Simpson is our new smart orchestrator. It keeps the big picture intact while delegating planning, verification, and execution to sub-agents. See it in action

@filiksyos Glad to have you here Fili

Life update: I've joined @TraycerAI as a technical marketing intern I will be exploring spec-driven development and see what happens when you stop vibe coding and start planning

How my codebase written entirely by claude evolves over-time

This was a comment on our Epic Mode walkthrough 👇 youtu.be/roqcUtYwBTw?si…

“Best possible prompt engineer put into the best possible project manager.” Yeah… this is why we built Epic Mode.

We are entering a strange phase of software. For 50 years we treated code as the source of truth. But code was never the truth. It was the translation. The real thing has always been intent. Why this feature exists. What user pain it resolves. What constraints matter. What must never break. Traditional engineering stored that in human heads, meetings, Slack threads, and tribal memory. Then we asked reviewers to reverse-engineer intent from diffs. Review was never about syntax quality. It was archaeology. Spec-driven development changes the direction of reasoning. Instead of humans reading code to infer intent, machines execute intent to produce code. A software factory works when the artifact is not a pull request. The artifact is a structured decision. When intent is captured as PRDs, scenarios, constraints, acceptance criteria, and system invariants, the model is no longer guessing. It is operating inside a bounded world. The orchestration layer becomes more important than the model because reliability comes from process, not from intelligence. This is why smart orchestration matters. A system like @TraycerAI does not replace engineers. It replaces ambiguity. You describe behavior, guardrails, and failure cases. The agents plan, implement, verify, and correct. Verification happens against intent, not against human opinion. The real power is not “AI writes code”. The real power is “you no longer need to read code to control software”. You stop supervising keystrokes and start supervising outcomes. You move from programmer to systems designer. From implementer to conductor. The future software engineer will not ask: “Did I write this correctly?” They will ask: “Did I define this correctly?”

To stress-test Bart, we introduced a chaos agent that randomly removed files and functionality at runtime. Bart's outer-loop orchestrator detected missing functionality and adjusted the tech plan & tickets during the run to address it.

Bart Simpson Mode is Live * Automatically implements an Epic using your coding agents * Steers agents by updating the tickets or tech plan as new facts are discovered during implementation * Verifies changes once execution completes Leave it to work as you go grab a coffee! ☕️

@TraycerAI woopsie

Me after my Claude code, Traycer, CodeRabbit built app accidentally raises $10M ARR