RT @tile_dev: Tile just made it to @ProductHunt’s Top 3 Designer Tools & Top 5 Developer Tools of the month! 🎉. Thanks to our amazing commu….

RT @Ronald_vanLoon: Built Apps in Minutes. @ApptileHQ, thanks for sharing. Don't miss out on the latest AI advancements! Sign up here to st….

Good overview of how @tile_dev works and how you can publish native apps to Appstore @ Play Store from your browser. This AI Builds & Launches Mobile Apps FOR YOU on Play Store & App Store! via @YouTube.

RT @Kanojiyaaakash1: BREAKING 🚨: RIP App developers. AI can now build professional Mobile Apps in minutes - no coding required. Here’s ho….

Stop tossing giant prompts at LLMs. Start designing your AI dev stack as a system: orchestrate + modularize. 👇 What’s your biggest reliability headache with AI-generated code? Reply below. I’ll share how we solve it.

10/ Results You See. • Faster iteration cycles.• Zero “context bloat” bugs.• AI-built features you can actually ship.

9/ The Hybrid Approach. Combine orchestration (context, tools, feedback) . modularity (task-specific Tiles) . and you get AI agents that behave like seasoned dev teams, not untrained interns.

8/ Why Modular = Reliable. - Context stays lean.- Errors get caught inside each Tile.- You can upgrade or swap Tiles without rewriting everything.

7/ Tile’s planner -> Dev -> Tester loop. We bring orchestration to every subtask. Each Tile generation:.• Receives a focused slice of context.• Sees only the APIs it needs.• Delivers its output back to the planner.

6/ Why it works . Lean context + scoped tools + real-time validation = agents that stay in their lane. No random imports. No unexpected mutations. No midnight firefights. (Well, fewer anyway).

5/ Continuous feedback: . Integrate tests, static analysis, and CI checks to catch errors before they hit refresh on web preview. This is extremely important to avoid users spending agent calls and tokens that just burn tokens and slow everything down.

4/ Tool curation: . Expose narrow, well-typed functions and APIs so agents can’t wander off. Tile’s system has dozens of MCP servers available for LLM to call on. This list is only growing. Without curating the tools for the exact task and context, it wouldn’t work.

3/ Context orchestration: . Feed the LLM only the exact code snippets and docs, negative examples, best practices they need, when they need them. Each agent has its own “memory” for the domain it specialises in.

2/ Tile’s agents build apps bottom up modularly, one tile at a time. Three modularity makes it easy to do what matters most while working with Coding agents: .•Context orchestration.•Tool curation.•Continuous feedback.

1/ The Problem. Monolithic prompts cram everything into one giant context window. Result? Token bloat, hallucinations, and fragile pipelines that crash under anything more than a demo.

“I have been using @tile_dev to build apps and results are stunning and to my surprise, better than @lovable_dev “ - a product manger building on Tile. I break down what makes Tile’s multi agent modular system so much more reliable than alternatives 👇.

Agentic development with precision visual edits is the future. @tile_dev is training fleets of super focused agents, managed infra for them to build on, and the interface for the human experts to supervise this hybrid product team.

The biggest ask from builders on @tile_dev is to improve token consumption. The team is working on an update that will significantly reduce token consumption while working with planner agent.

We’re really excited to bring this future forward. Try @tile_dev and share your thoughts.