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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.
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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.
Based on our record, Prettier seems to be more popular. It has been mentiond 304 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.
Line length, spacing, and indentation matter. My preference for code is roughly 80 to 110 characters. Longer lines become tiring to scan, while very short lines can create excessive wrapping. For formatting, tools like Prettier reduce debate and keep code visually consistent across contributors. - Source: dev.to / 24 days ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 3 months ago
Prettier and ESLint are useful tools for establishing consistent code style as a baseline before starting structural refactoring - style differences in a diff make behavioral changes harder to spot. OWASP provides useful checklists for security-critical code review that apply directly to the critical path review step. - Source: dev.to / 3 months ago
The matcher field takes a regex pattern. Edit|Write means this hook only fires when the Edit or Write tool is used. Claude running Bash, Read, or any other tool won't trigger it. The command itself uses jq to extract the file path from the tool input JSON, then pipes it to Prettier. Every file Claude touches gets formatted automatically. - Source: dev.to / 4 months ago
The better approach: let the agent write code however it wants, then run Prettier, Black, Ruff, or ESLint. Zero ambiguity. The agent doesn't need to think about formatting at all, which means fewer tokens spent and fewer decisions that could go wrong. - Source: dev.to / 5 months ago
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