“I had the pleasure of working with Mike. He served as leader of the server team. Anybody who worked with Mike will attest that he is smart, passionate, efficient and technically very strong. At Voltage, he quickly was recognized and respected by coworkers as an proficient and experienced leader. He is an excellent individual contributor and a true team player. I truly believe Mike is an asset to any organization and will make a substantial and positive impact.”
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Senior technical leader with experience managing large teams in highly cross-functional…
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City of Redwood City, Parks & Rec Assistant Director Lucas Wilder and Chief Fun Officer Jordana Freeman have done an incredible job of supporting…
City of Redwood City, Parks & Rec Assistant Director Lucas Wilder and Chief Fun Officer Jordana Freeman have done an incredible job of supporting…
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I am excited to announce that I have recently started a new role as Senior Engineering Manager at Everpure. The domain is new to me but the company…
I am excited to announce that I have recently started a new role as Senior Engineering Manager at Everpure. The domain is new to me but the company…
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A big thanks to Lucas Bennington for presenting a well attended session to Portland Java User Group. Thank you: • ProFocus Technology and Madeline…
A big thanks to Lucas Bennington for presenting a well attended session to Portland Java User Group. Thank you: • ProFocus Technology and Madeline…
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Everpure
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I wanted to show people what a job search looks like in Q2 2026 for a senior tech individual contributor.
I wanted to show people what a job search looks like in Q2 2026 for a senior tech individual contributor.
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We're excited to welcome Derek Tan to Chalk as a Software Engineer in SF. Derek joins from Atlassian, where he spent nearly two years building…
We're excited to welcome Derek Tan to Chalk as a Software Engineer in SF. Derek joins from Atlassian, where he spent nearly two years building…
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Knowledge is the strongest attraction. 🧲 At QT Magnetic Solutions, we believe that precision engineering starts with shared expertise. That’s why…
Knowledge is the strongest attraction. 🧲 At QT Magnetic Solutions, we believe that precision engineering starts with shared expertise. That’s why…
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I’m honored to share that I’ve accepted the invitation to deliver the keynote speech at the 2026 Oregon State University EECS Graduation Celebration…
I’m honored to share that I’ve accepted the invitation to deliver the keynote speech at the 2026 Oregon State University EECS Graduation Celebration…
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A rare non-joke post for me - excited to note that as of last week 16 folks from my old team at Netflix have gone on to become CISOs. Such a great…
A rare non-joke post for me - excited to note that as of last week 16 folks from my old team at Netflix have gone on to become CISOs. Such a great…
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Jacob Clark
At face value the throughput acceleration AI enables feels like progress, faster pipelines and more commits shipped. When you look more closely however, the data reported in the 2025 DORA Report points to a harsher truth... we are moving faster with less control. The metrics behind instability, change fail rate, rework and recovery time are all trending upwards. More often than not, AI is simply automating in failure. The 2025 DORA Report surfaces four painful realities of embedding AI into your SDLC: - AI boosts throughput at the cost of higher deployment failure and rework. We are codifying instability into our pipelines. - Burnout remains flat. Productivity gains are absorbed by higher business expectations, not returned to developers. Faster delivery means faster deadlines. - Over 80% feel more productive with AI. Yet the research shows developers who slowed down by 19% still believed they were 20% faster. Perception of acceleration from AI usage is often just a placebo effect. - The AI Capabilities Model makes value contingent on seven systemic investments, including platforms, data ecosystems and strategy. For many organisations this means a multi-year transformation before they can get close to extracting real value from AI tooling. AI is not a silver bullet, it magnifies the strengths of already high-performing teams, while compounding the weaknesses of others. It is becoming clear that if your team and organisation are already practicing engineering excellence and have a strong, continuously improving product culture, you will benefit the most from AI adoption. If your organisations maturity is low, you are better off investing in foundational changes to your ways of working and culture first.
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