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Codex by OpenAI
DevPerform is engineering intelligence for engineering leaders: delivery metrics and developer sentiment in one product, so when a number moves you can ask the team about it and see both answers side by side.
Connect GitHub, GitLab, or Bitbucket and DevPerform computes DORA metrics, phased cycle time, review health, throughput, and investment allocation automatically โ no agents on developer machines, no CI changes, and your source code is never stored. Anonymous developer surveys (DX Core 4, eNPS, engagement) roll into a 0โ100 Experience Index you can trend wave over wave, and survey results can be triaged into team-visible focus areas with follow-through tracking.
It is deliberately not a surveillance tool: there are no individual rankings or leaderboards, survey answers sit behind an anonymity threshold, and AI adoption and impact are measured at team level only.
Fully self-serve: instant interactive demo, free public repo benchmark, public pricing, free tier, and a 14-day Pro trial. No sales call required.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
DevPerform
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DevPerform's answer
Engineering leaders โ VPs, directors, and team leads โ at software teams of any size, from a small startup to a large enterprise. DevPerform is self-serve, so small teams can start in minutes, and it scales to large orgs and monorepos without agents or CI changes. Any company building software on GitHub, GitLab, or Bitbucket is a fit.
DevPerform's answer
DevPerform was built by engineers who kept seeing the same gap: delivery dashboards that flag a slow week but can't explain it, and engagement surveys nobody acts on. Putting the two in one loop โ number moves, team explains, leadership commits, next survey shows the follow-through โ turned out to be the product. Launched in 2026, bootstrapped and self-serve from day one.
DevPerform's answer
DevPerform pairs delivery metrics (DORA, cycle time, review health) with anonymous developer surveys in one product. Metrics tell you what is slow; surveys tell you why โ and when a number moves you see both side by side, then close the loop: mark a survey dimension as a focus area, set a goal on it, and the next wave shows whether it worked.
DevPerform's answer
It's self-serve end to end where most of this category is sales-led: an instant demo with no signup, a free public repo benchmark, public pricing from $0, and a 14-day Pro trial with no credit card. Setup reads your GitHub, GitLab, or Bitbucket metadata directly โ no agents on developer machines, no CI changes โ and everything ships on two public tiers with no seat minimums or annual-only contracts.
DevPerform's answer
React + TypeScript frontend, Python (FastAPI) backend, PostgreSQL, deployed on Kubernetes. Data comes from the GitHub, GitLab, and Bitbucket APIs โ repository metadata only; source code is never stored.
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be more popular. It has been mentiond 388 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Snagly is a free, MIT-licensed set of 30 skills for AI coding agents โ GitHub Copilot, Claude Code, Cursor, Codex and 70+ others โ that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you haven't met them yet, is a reusable instruction set that teaches the agent a specific working method โ when to use it, what rigor it requires, what evidence to capture, and what... - Source: dev.to / 10 days ago
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / about 2 months ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / 2 months ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / 2 months ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / 3 months ago
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