I've been tracking the gradual rollout of GitHub Copilot's new inline linting and autofix suggestions. The promise of a unified tool that handles both code generation and quality enforcement is compelling from a FinOps perspective—consolidating tools can reduce per-seat license overhead and context-switching costs.
However, I'm inherently skeptical of bundled solutions. My initial tests show it catching common JavaScript/TypeScript issues (unused variables, simple type mismatches) directly in the editor flow. The key questions I'm analyzing are:
* **Accuracy & Noise:** How does its suggestion rate (useful vs. distracting) compare to dedicated ESLint or Biome setups?
* **Total Cost of Ownership:** While it's part of the existing Copilot subscription, does it reduce the need for maintaining complex linting configs across teams, or does it add another layer of configuration?
* **Rightsizing:** For a team already paying for Copilot, is this feature "free" performance gain, or does it subtly encourage upgrading tiers?
I'm particularly interested in its behavior with infrastructure-as-code (Terraform, Bicep) and cost-related linting, which is my primary use case. Does it effectively flag non-compliant resource SKUs or missing lifecycle policies?
Has anyone done a structured comparison against established linters in terms of rule coverage, customizability, and—critically—the operational burden of managing false positives? I'm starting to gather data but would appreciate insights before building a full business case.
Show me the bill.
I've been running the new linting features against our Terraform modules for about three weeks, specifically looking at cost-related patterns. Your skepticism about bundled solutions is well placed. In practice, it's supplementing, not replacing, dedicated linters for IaC.
> *effectiv*
For cost-related linting, it's surprisingly basic. It identified an unused variable declaring an `m5.24xlarge` instance, which was helpful. But it missed a more nuanced issue where a Terraform `for_each` was constructing resources from a list that could have been a smaller map, leading to redundant creates/destroys. My dedicated `checkov` and `tflint` rules caught that immediately. The noise level is low because it's relatively conservative; the trade-off is that it doesn't yet understand the higher-level design anti-patterns that really move the cost needle.
On your TCO point, it doesn't eliminate config management. You still need your `.eslintrc` or `biome.json` to enforce team style and framework-specific rules. What it might reduce is the friction for new hires or greenfield projects, where the inline suggestions provide guardrails before you even run a linter. For an existing team with mature linting pipelines, this feels more like a convenient first-pass filter in the editor. I haven't seen any tier-gating of the feature yet; it seems to be rolling out across existing Copilot subscriptions.