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DevWit

The AI IDE that shows you exactly what it sends

DevWit is a free, open-source AI IDE built on one principle: you should see exactly what the AI sees and does. Every LLM request shows its full context — system prompt, tools, injected code — with per-item token costs you can toggle. Every file write and shell command needs your explicit approval.

Top comment

Hi Product Hunt! I'm the maker of DevWit. I built it because I kept hitting the same wall with AI coding tools: I couldn't tell what was being sent to the model, or what the agent was about to do to my files. DevWit makes both fully visible: 1. Context Panel — every LLM request lists its system prompt, tools, and each injected item (file, RAG chunk, terminal output) with token counts. Toggle any item off and the request shrinks accordingly. 2. Authorization Gate — the agent cannot write a file or run a shell command without your one-click approval. Approvals can be remembered per-project. 3. Lean context — a task router sends simple requests to local models (Ollama) and complex ones to cloud models, with a per-session cost ledger. It's a real IDE, not a wrapper: TypeScript LSP (diagnostics/hover/definition), integrated Git, breakpoint debugging (DAP/js-debug), MCP tool servers, multi-agent orchestration, custom modes — all free, all open source. v0.3.0 ships Windows/macOS/Linux builds verified by 614 unit tests and 28 end-to-end suites. No accounts, no cloud sync, telemetry is opt-in and off by default. I'd love your feedback — especially from teams with compliance/audit needs.

About DevWit on Product Hunt

The AI IDE that shows you exactly what it sends

DevWit was submitted on Product Hunt and earned 5 upvotes and 9 comments, placing #110 on the daily leaderboard. DevWit is a free, open-source AI IDE built on one principle: you should see exactly what the AI sees and does. Every LLM request shows its full context — system prompt, tools, injected code — with per-item token costs you can toggle. Every file write and shell command needs your explicit approval.

On the analytics side, DevWit competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how DevWit performed against the three products that launched closest to it on the same day.

Who hunted DevWit?

DevWit was hunted by ZONGYUAN SUI. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of DevWit including community comment highlights and product details, visit the product overview.