Suggested Post Flow Feature Flags / Experimentation 6 ICP Profiles

LaunchDarkly · LinkedIn Post Flow

3 posts designed for Netlify's LinkedIn presence – thought leadership that naturally surfaces Netlify's value to LaunchDarkly's engineering and product leaders. Publish in sequence over 2 weeks.

How to use: Publish Post 1 on Day 1, Post 2 on Day 5, Post 3 on Day 10. The @LaunchDarkly mention creates visibility with their team without a cold DM. Copy any post to clipboard and paste directly into LinkedIn.

Post 1 of 3

Feature flags decouple deploy from release. Deploy Previews decouple review from merge. Together, they're the safe experimentation stack.

@LaunchDarkly popularized a powerful idea: deploy code to production, but don't release the feature until you're ready to. Decouple deployment from release.

Netlify Deploy Previews extend that philosophy earlier in the cycle: review live code in an isolated environment before it ever merges to main. Decouple review from merge.

When you combine both:
— Engineers deploy freely to production (flag off)
— Product reviews the feature via a deploy preview (pre-merge)
— The flag turns on for a percentage of users when the team is confident
— Any issues trigger an instant rollback or flag toggle

That's the complete safe experimentation stack. Feature flags own the release. Preview environments own the review.

→ netlify.com

Post 2 of 3

The best A/B test infrastructure starts before the experiment goes live.

Experimentation platforms like @LaunchDarkly let you run A/B tests with statistical rigor. But there's a pre-experiment phase that most teams handle badly: validating the variant before it goes live.

When every PR creates a preview environment, your product team can review the variant UI before the experiment launches. Designers can check that the test is rendering correctly. PMs can confirm the test hypothesis matches the implementation.

Shipping a broken A/B variant wastes user exposure, pollutes results, and burns trust with the analytics team.

The review happens in the deploy preview. The experiment runs via @LaunchDarkly. Both need to be part of the workflow.

→ netlify.com

Post 3 of 3

Progressive delivery is a philosophy, not just a feature flag toggle.

Progressive delivery — releasing features incrementally and measuring as you go — has become the standard for high-velocity engineering teams. @LaunchDarkly has done a lot to make that accessible.

But progressive delivery at the deployment layer predates the feature flag. It starts with how you get code to production in the first place.

Branch deploys for testing. Deploy Previews for review. Atomic deploys for consistent snapshots. Instant rollback when something doesn't behave as expected.

Progressive delivery isn't just "roll out to 5% of users." It's a discipline that starts at the first line of code review and doesn't end until you're confident in the full rollout.

→ netlify.com