DevDynamics

DevDynamics just won 9 G2 badges this time! But what stood out the most? We won the Best Support badge. Why does this matter? Because great tools are only half the story. Real support makes all the difference. We partner with you to: ? Pick the right metrics for your team ? Set meaningful goals ? Review progress with Quarterly Business Reviews ? White-glove support through email, phone, or whatever works best for you Along with Best Support, we also earned: Best ROI and High performer badges across 7 categories. A huge thank you to our customers for trusting us! More to come.

Alright, picture this: Leadership wants visibility into engineering. Someone chimes in, “Hey, we already use Grafana for infra monitoring, let’s just use it for engineering metrics too!” A couple of engineers get pumped, disappear into a rabbit hole...

I spoke to a fintech CTO last month. He said AI is making our engineering team faster, but we’re not seeing results. The assumption? Their process had inefficiencies, and AI was the missing piece to accelerate engineering output. So, we ran an analysis. Looked at how AI was actually impacting their dev cycle. Their team wasn’t struggling with velocity. If anything, they were shipping more than ever. Now, you might be wondering what does “shipping more” actually mean? - AI-assisted coding was cutting development time by 55%. - PRs were getting merged faster. - More experiments were running in parallel. - Code reviews were happening, though they were a bit rushed. They had a strong AI adoption strategy. So what was the problem? Their ?????????????? ???????? ?????? ????????????. AI was generating a massive volume of code, but ?? ?????? ???? ???? ?????? ?????????? ?????????????????? ???? ???????????? ????????. Their key issue? Rework rate was through the roof. ?? It’s a problem when AI helps you write code faster, but: - Your team spends ?????????? ???? ???????? ???????? fixing bugs. - Code churn ??????????????, because AI-generated suggestions don’t align with system architecture. - Deployments slow down, because reviews and testing can’t keep up. They were not improving but ???????????????? ???????? ???????? for themselves. The root cause? They were tracking the wrong success metrics. - They optimized for ???????? ?????????? ????????????, but not ???????? ???????? ???? ????????????. - They tracked ???? ??????????, but not ?????? ???????? ???? ?????????? ?????? ???????????? ??????????????????. A few weeks later, we started measuring engineering productivity differently. ?????? ???????? ?????? ???????? ???????? ?????? ??????????????, ?????? ?????? ?????????????????????? ???? ?????????? ???? ???????????????????? ?????????????? ???????????????? ????????????. The results? - AI-generated code is now flagged for ???????????????? ?????????????? before merging. - PR sizes are ?????????????? ?????? ???????? ????????????????????????. ???????????? ??????????????: ???? ??????????’?? ???????? ?????????????????????? ?????????? ???????????????????? ???? ??????????????. ???? ???????? ?????????? ???????? ????????. ?????????????? ???????? ???????????????? ???? ?????????????? ???? ???? ?????????????? ?????????????? ???? ???????? ?????? ??????????????. Want to see how DevDynamics can help you run better engg processes - https://lnkd.in/dpeWRBu3

?? ?????? ?????? ???? ???????????? ????????????????? The VP's question cuts through the air like a knife. ???? ??????????. ???? ?????????? ????????. ???????? ?????? ???????????? ?????? ??????????????. As an engineering director, you feel it. ??????????????????’?? ???????????????? ?????? ???????? ???????? ?????? ?????????? ???? ?????? ???????? ?????????? ??????????????? Are PRs stuck? Is someone drowning in work while others cruise? Is a critical issue quietly snowballing? You could open GitHub. Jira. Slack. Your engineering intelligence tool. Your spreadsheets. ?????????? ?????? ?????????????? ???????? ???????? ?? ??????????????????. Or ?????? ?????????? ???????? ???????? ??????????????. ?? ???? ???????? ??????????????. ???? ???????? ?????????????????? ????????????????. ???????? ?????????????? ??????????????. Picture this: ?? ?? ???????? ???? ?????? ?????? ?????????????? ???? ??????????????—?????????????? ???????????????????? ????????. ?? ?????? ???????????????? ?????????????? ????% ???? ?????? ?????????? ???????????? ???????????? ?????????? ??????????????. ? ?? ?????????? ???? ?????????? ?????????? ???????????????? ????, ?????????????? ???????? ???????????????? ???? ?????????????? ???? ????????. You don’t have to dig for these insights anymore. ????????’???? ?????????? ???? ?????????? ???? ?????? ?????? ???????????? ?????? ???????? ???? ??????????????????????. ?? ?????????????? ???? ?????? ???????? ???? ??????????????????????. ???????? ????????????????. ?????????? ??????????????. ?? ?????? ???? ???? ??????’?? ?????????? ???? ?????????????? ??????????????????.

?????????? ?????????? ???? ?? ??????????????????" ≠ ???????????? ???????? One of the most common questions we get is How is DevDynamics different from other engg analytics platforms? Yes, we have more powerful features. But the biggest differentiator? Accuracy. Most engineering analytics tools show you flashy charts, but when you try to dig deeper... there’s nothing underneath. No way to verify the data. No way to drill down. Just numbers you’re expected to trust. ?? ???? ??????????????????????, ?????????? ???????????? ???? ?????????? ??????????????????. - Want to know why your cycle time spiked? Click into it. - Need to verify PR throughput? See the raw data. - Wondering if AI tools like Copilot are actually helping? Track usage and impact, side by side. Because if you can’t trust your data, you can’t trust your decisions. And in engineering, that’s a risk you can’t afford. Start your free trial now to see DevDynamics in action - https://lnkd.in/g5tU6d_s

???? ?????????????? ???????????????? ????+ ???????? ?????????????? ???? ??????????????????—????????’?? ???????? ???? ?????????????? Last week, along with our partners at Facets.cloud we hosted a closed-door roundtable in Bangalore with 15 incredible CTOs and engineering leaders—people who’ve built and scaled engineering orgs from the ground up. No slides, no panels- just real, unfiltered discussions on engineering productivity, release velocity, and how teams are actually measuring success. ???????? ???? ??????????????????: ?? ???????????????? ???????? ??????’?? ????????????. If deploys are happening daily but your team is stuck in rework, unclear specs, and firefighting, are you really moving forward? ?? Most teams struggle with what to measure. PR count, sprint velocity, and deployment frequency look good in reports, but they rarely reflect real efficiency. What actually matters? ?? ???????????????????? ??????’?? ?????? ??????????????—???????????????? ????. Some teams have fully automated testing, deploys, and code reviews. Others are still manually approving everything. ?????????????? ????????????????? ?????????????????????? ??????????????, ?????? ???????? ???? ???? ?????????? ???? ???????????? ??????????????????. ????????’?? ?????????????? ???????? ????’???? ?????????????? ???? ???? ??????????????????????—?????????????? ?????????? ?????? ?????? ?????????????? ?????? ?????????????? ???????? ???????????????? ??????????????. Grateful for everyone who joined the discussion—more of these conversations need to happen. Looking forward to keeping the momentum going! Prasanna Ranganathan Pravanjan Choudhury Anshul Sao Ranjitha R Ayush Tripathi Gaurav Konar Santosh Bheemarajaiah Arvind Kumar Gupta Pranabjyoti Bordoloi Riya Garg Sunny R Gupta Ankit Srivastava Rishi Saraf Chandresh Pancholi Akshay M Akhilesh Kumar Shashank Kothari Himanshu S.

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?? ?????? ?????? ???? ???????????? ????????????????? The VP's question cuts through the air like a knife. ???? ??????????. ???? ?????????? ????????. ???????? ?????? ???????????? ?????? ??????????????. As an engineering director, you feel it. ??????????????????’?? ???????????????? ?????? ???????? ???????? ?????? ?????????? ???? ?????? ???????? ?????????? ??????????????? Are PRs stuck? Is someone drowning in work while others cruise? Is a critical issue quietly snowballing? You could open GitHub. Jira. Slack. Your engineering intelligence tool. Your spreadsheets. ?????????? ?????? ?????????????? ???????? ???????? ?? ??????????????????. Or ?????? ?????????? ???????? ???????? ??????????????. ?? ???? ???????? ??????????????. ???? ???????? ?????????????????? ????????????????. ???????? ?????????????? ??????????????. Picture this: ?? ?? ???????? ???? ?????? ?????? ?????????????? ???? ??????????????—?????????????? ???????????????????? ????????. ?? ?????? ???????????????? ?????????????? ????% ???? ?????? ?????????? ???????????? ???????????? ?????????? ??????????????. ? ?? ?????????? ???? ?????????? ?????????? ???????????????? ????, ?????????????? ???????? ???????????????? ???? ?????????????? ???? ????????. You don’t have to dig for these insights anymore. ????????’???? ?????????? ???? ?????????? ???? ?????? ?????? ???????????? ?????? ???????? ???? ??????????????????????. ?? ?????????????? ???? ?????? ???????? ???? ??????????????????????. ???????? ????????????????. ?????????? ??????????????. ?? ?????? ???? ???? ??????’?? ?????????? ???? ?????????????? ??????????????????.

Stanford didn’t just throw a pebble into the pond; they dropped a bomb with their study on “ghost engineers.” These aren’t the mysterious geniuses fixing code at midnight. Nope, they’re the engineers clocking in, showing up for meetings, and doing…...

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