Measure the full AI SDLC. From token to production.
AI agents write code. Most teams cannot tell you what percentage actually ships. Waydev tracks agent-generated code from IDE to production with AI Checkpoints: which agent, tokens consumed, cost per PR, acceptance rate, deployment status. Per team, per repo, per vendor. Compare Copilot, Cursor, and Claude Code on what reaches your customers. Measure cost per shipped PR and AI ROI. Ask the Waydev Agent anything.
I am Alex, founder of @Waydev Nine years of building engineering intelligence. I have never seen a shift like this one.
AI agents are writing your code. Nobody audits the output.
4% of public GitHub commits are already authored by Claude Code. Companies are spending up to $195 per developer per month on AI coding tools. Almost none of them can prove the spend is working.
That is the gap we rebuilt Waydev to close. The new platform measures the full AI SDLC:
AI Adoption — which tools your teams use, what you spend per vendor, per team, per repo
AI Impact — follow AI code from IDE to production. See where it ships and where it dies
AI ROI — cost per PR, cost per shipped line, tokens consumed vs code shipped
AI Checkpoints — commit-level attribution. Which agent, how many tokens, what percentage was AI
Waydev Agent — ask anything. Closes the loop by feeding insights back to your AI through MCP
AI adoption was the easy part. Proving what AI actually changed in production is the hard part. That is what we built.
In the comments all day. Ask me anything.
— Alex
About The New Waydev on Product Hunt
“Measure the full AI SDLC. From token to production.”
The New Waydev launched on Product Hunt on April 20th, 2026 and earned 189 upvotes and 23 comments, earning #2 Product of the Day. AI agents write code. Most teams cannot tell you what percentage actually ships. Waydev tracks agent-generated code from IDE to production with AI Checkpoints: which agent, tokens consumed, cost per PR, acceptance rate, deployment status. Per team, per repo, per vendor. Compare Copilot, Cursor, and Claude Code on what reaches your customers. Measure cost per shipped PR and AI ROI. Ask the Waydev Agent anything.
On the analytics side, The New Waydev competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how The New Waydev performed against the three products that launched closest to it on the same day.
Who hunted The New Waydev?
The New Waydev was hunted by Garry Tan. 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 The New Waydev including community comment highlights and product details, visit the product overview.
Hey Product Hunt 👋
I am Alex, founder of @Waydev Nine years of building engineering intelligence. I have never seen a shift like this one.
AI agents are writing your code. Nobody audits the output.
4% of public GitHub commits are already authored by Claude Code. Companies are spending up to $195 per developer per month on AI coding tools. Almost none of them can prove the spend is working.
That is the gap we rebuilt Waydev to close. The new platform measures the full AI SDLC:
AI Adoption — which tools your teams use, what you spend per vendor, per team, per repo
AI Impact — follow AI code from IDE to production. See where it ships and where it dies
AI ROI — cost per PR, cost per shipped line, tokens consumed vs code shipped
AI Checkpoints — commit-level attribution. Which agent, how many tokens, what percentage was AI
Waydev Agent — ask anything. Closes the loop by feeding insights back to your AI through MCP
AI adoption was the easy part. Proving what AI actually changed in production is the hard part. That is what we built.
In the comments all day. Ask me anything.
— Alex