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Team","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fdev-panel-ai-summit\u002Fauthor.png",null,{"type":678,"value":679,"toc":998},"minimark",[680,684,687,692,764,767,771,780,788,791,794,797,804,807,810,814,817,820,823,826,829,832,835,838,842,845,848,851,854,857,860,863,866,874,878,887,890,893,896,899,902,917,921,924,933,936,939,942,945,948,952,955,958,961,964,967,970,973,976,979,983,986,989,992,995],[681,682,683],"p",{},"At the Pieces AI Productivity Summit, six developer advocates from across the tech industry sat down for a candid panel chat. No keynotes, no slides, just real conversation.",[681,685,686],{},"From debugging horror stories to why AI still can't replace the human tone of a blog post, the session offered a front-row seat to the real impact of AI in developer workflows.",[688,689,691],"h2",{"id":690},"meet-the-advocates","Meet the advocates",[693,694,695,709,719,729,739,754],"ul",{},[696,697,698,708],"li",{},[699,700,704],"a",{"href":701,"rel":702},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Ffrancesco-ciulla-roma\u002F",[703],"nofollow",[705,706,707],"strong",{},"Francesco"," (Daily Dev): Developer Advocate, serious-face joker, known for deadpan delivery and surprise punchlines.",[696,710,711,718],{},[699,712,715],{"href":713,"rel":714},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Ferinmikail\u002F",[703],[705,716,717],{},"Erin"," (Galileo): Developer Experience Engineer by day, stand-up comic by night. Also, host of a podcast about dev rel and pickles.",[696,720,721,728],{},[699,722,725],{"href":723,"rel":724},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Febonylouis\u002F",[703],[705,726,727],{},"Ebony"," (Block): Developer Advocate and aspiring nail artist. Recently turned her hand to gel polish between GitHub pushes.",[696,730,731,738],{},[699,732,735],{"href":733,"rel":734},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fthierrydamiba\u002F",[703],[705,736,737],{},"Terry"," (Quadrant): Data Scientist and Developer Advocate who’s also taken his stand-up sets to stages in New Zealand.",[696,740,741,748,749,753],{},[699,742,745],{"href":743,"rel":744},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fchloecondon\u002F",[703],[705,746,747],{},"Chloe"," (Google): Developer Relations Engineer, once played Fiona in ",[750,751,752],"em",{},"Shrek: The Musical",". No more green face paint, please.",[696,755,756,763],{},[699,757,760],{"href":758,"rel":759},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fialimustufa\u002F",[703],[705,761,762],{},"Ali"," (Pieces): Host and Senior Developer Advocate at Pieces. Into RC cars, AI, and making frontend work… somehow.",[681,765,766],{},"Check out the full dev rel panel during Pieces AI Summit. The panel starts at 2:20:50.",[688,768,770],{"id":769},"the-everyday-stack-what-they-actually-use","The everyday stack: what they actually use",[681,772,773,774,779],{},"The panel began with a dive into the tools everyone was using. Gemini, ",[699,775,778],{"href":776,"rel":777},"https:\u002F\u002Fpieces.app\u002Ffeatures\u002Fmcp\u002Fgithub",[703],"GitHub Copilot",", and ChatGPT all made appearances, but it was clear that the developer workflows extended well beyond the standard fare.",[681,781,782,783],{},"Pieces came up as part of real workflows, for it’s code management and being a useful ",[699,784,787],{"href":785,"rel":786},"https:\u002F\u002Fpieces.app\u002Ffeatures\u002Flong-term-memory\u002Fai-memory-assistant",[703],"memory assistant.",[681,789,790],{},"Goose, a local AI agent, got multiple shoutouts for its role in debugging, no drama, just fast fixes.",[681,792,793],{},"Instead of losing hours on Stack Overflow, developers now rely on AI as an invisible partner in problem-solving.",[681,795,796],{},"Warp, a smart terminal, and even Vim got some love, highlighting how traditional tools are being modernized with AI smarts layered in.",[681,798,799],{},[800,801],"img",{"alt":802,"src":803},"","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fdev-panel-ai-summit\u002Fimg-001.png",[681,805,806],{},"What stood out wasn’t just which tools were in rotation, but how naturally they were embedded into daily work. One panelist used AI to build a full-featured ticketing page for the summit itself despite having little frontend experience.",[681,808,809],{},"AI didn’t replace the developer; it expanded the scope of what they could pull off.",[688,811,813],{"id":812},"trust-and-friction-ai-adoption-inside-teams","Trust and friction: AI adoption inside teams",[681,815,816],{},"While individual workflows were full of AI, the panelists acknowledged that broader team adoption still had friction points.",[681,818,819],{},"One of the biggest hurdles was perception, many still viewed AI as a chatbot gimmick.",[681,821,822],{},"But once it’s inside the developer environment, acting more like a helpful teammate than a search engine, the value becomes hard to ignore.",[681,824,825],{},"There was a shared understanding that the real resistance often didn’t come from developers.",[681,827,828],{},"Legal, marketing, and other non-engineering teams sometimes hesitated more.",[681,830,831],{},"One story involved a journalist, skeptical at first, who became a convert after using Goose to draft an article. Another panelist mentioned a bail bondsman who built an app with AI, without knowing how to code.",[681,833,834],{},"The implication was clear: AI is already practical for people who don't code. The tools are reaching across roles and breaking down technical gatekeeping.",[681,836,837],{},"But scaling that across organizations still requires advocacy, education, and trust.",[688,839,841],{"id":840},"still-learning-still-doing-just-differently","Still learning, still doing – just differently",[681,843,844],{},"The inevitable question surfaced: if AI can write the code, is there a point to learning it?",[681,846,847],{},"The consensus was nuanced.",[681,849,850],{},"Syntax memorization might be losing its edge, but structural thinking, breaking down problems into tasks, understanding data flow, security, and architectural trade-offs remains crucial.",[681,852,853],{},"Knowing the \"why\" behind the code is becoming more valuable than the exact keystrokes.",[681,855,856],{},"Chloe, standing in for the Google perspective, emphasized the increasing importance of guardrails, especially as consumer-facing AI products grow. Tools are powerful, but they need constraint and design to ensure they’re safe.",[681,858,859],{},"Others pointed to DevOps as the rising skill area, understanding how to test, monitor, and ship AI-driven applications.",[681,861,862],{},"With models behaving in non-deterministic ways, traditional QA techniques don’t always apply.",[681,864,865],{},"Knowing how systems interconnect is more relevant than obsessing over elegant CSS.",[681,867,868,873],{},[699,869,872],{"href":870,"rel":871},"https:\u002F\u002Fpieces.app\u002Fblog\u002Fllm-prompt-engineering",[703],"Prompting",", orchestration, and tool fluency were also highlighted, not just using AI, but using it well.",[688,875,877],{"id":876},"context-is-king-the-memory-problem","Context is king: the memory problem",[681,879,880,881,886],{},"Every developer has hit the wall of ",[699,882,885],{"href":883,"rel":884},"https:\u002F\u002Fpieces.app\u002Fblog\u002Fai-context-making-the-most-out-of-your-llm-context-length",[703],"AI context limits",".",[681,888,889],{},"You switch tools, you lose history.",[681,891,892],{},"You rerun prompts, and you get wildly different outputs.",[681,894,895],{},"The panelists voiced collective fatigue with re-explaining the same setup across different LLMs.",[681,897,898],{},"This sparked discussion around memory and continuity.",[681,900,901],{},"Tools like Pieces are aiming to solve that by tracking past work, enabling queries like “What was I working on last week?” Others talked about semantic caching, recognizing different ways of asking the same question as equivalent queries, saving both time and cost.",[681,903,904,905,910,911,916],{},"The wish list was clear: smarter assistants that don’t just generate outputs, but ",[699,906,909],{"href":907,"rel":908},"https:\u002F\u002Fpieces.app\u002Ffeatures\u002Flong-term-memory",[703],"remember the user’s goals",", constraints, and ",[699,912,915],{"href":913,"rel":914},"https:\u002F\u002Fpieces.app\u002Ffeatures\u002Flong-term-memory\u002Fai-workflow-history",[703],"history"," across sessions and tools.",[688,918,920],{"id":919},"whats-next-agents-autonomy-and-better-interfaces","What’s next: agents, autonomy, and better interfaces",[681,922,923],{},"Looking ahead, the panelists shared the trends that had them most excited.",[681,925,926,927,932],{},"AI agents were a recurring theme, especially those powered by open standards like the ",[699,928,931],{"href":929,"rel":930},"https:\u002F\u002Fpieces.app\u002Fblog\u002Fmcp",[703],"Model Context Protocol"," (MCP), which allow agents to plug into tools like GitHub or Jira without reinventing the wheel.",[681,934,935],{},"More than one panelist celebrated content summarization as an unexpected win.",[681,937,938],{},"From Slack rants trimmed into polite responses, to transcripts turned into outlines, AI was quietly smoothing over communication hiccups and saving relationships.",[681,940,941],{},"But alongside the enthusiasm came caution.",[681,943,944],{},"Several speakers warned against stacking too many tools without understanding what each one was doing. One compared it to grabbing every new Lego brick without building a coherent structure.",[681,946,947],{},"The goal isn’t more tools – it’s smarter, leaner systems that amplify creativity and reduce friction.",[688,949,951],{"id":950},"where-ai-still-falls-short","Where AI still falls short",[681,953,954],{},"To wrap things up, the group reflected on the uniquely human parts of developer advocacy that AI still can’t touch.",[681,956,957],{},"Brand tone and voice came up immediately. Drafting copy is one thing, but knowing what feels “on-brand” is still a gut check that no LLM can replicate.",[681,959,960],{},"Understanding the emotional temperature of a community or deciding how to respond to a weird DM?",[681,962,963],{},"That’s still squarely human work.",[681,965,966],{},"Test coverage was another area where AI helped, but didn’t fully replace judgment.",[681,968,969],{},"Generating boilerplate tests is easy; knowing what’s worth testing isn’t.",[681,971,972],{},"And then there’s the logistical sprawl of DevRel itself: event planning, content production, community feedback, workshops.",[681,974,975],{},"Some panelists have started cloning parts of themselves, literally using AI to replicate workshop scripts or generate drafts, but acknowledged that the spark, the improvisation, still needs to come from a person.",[681,977,978],{},"One particularly memorable anecdote involved someone getting caught using an AI clone of themselves to run a 101 workshop. It almost worked. Almost.",[688,980,982],{"id":981},"real-humans-real-tools-real-adaptation","Real humans, real tools, real adaptation",[681,984,985],{},"The panel didn’t wrap with dramatic pronouncements or starry-eyed predictions.",[681,987,988],{},"Instead, it closed on something simpler: this group of developers is adapting – quickly, creatively, and without pretending they have all the answers.",[681,990,991],{},"They’re using AI because it’s useful, not because it’s trendy.",[681,993,994],{},"They’re honest about what works, what doesn’t, and what still feels weird.",[681,996,997],{},"And they’re building systems where humans are still at the center, even as the machines get louder, faster, and smarter.",{"title":802,"searchDepth":999,"depth":999,"links":1000},2,[1001,1002,1003,1004,1005,1006,1007,1008],{"id":690,"depth":999,"text":691},{"id":769,"depth":999,"text":770},{"id":812,"depth":999,"text":813},{"id":840,"depth":999,"text":841},{"id":876,"depth":999,"text":877},{"id":919,"depth":999,"text":920},{"id":950,"depth":999,"text":951},{"id":981,"depth":999,"text":982},"Get started","2025-05-27T00:00:00.000Z","Six dev advocates discuss AI tools, skills, and challenges shaping modern developer workflows and collaboration.",false,"md","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fdev-panel-ai-summit\u002Fhero.png",{},"\u002Fblog\u002Fdev-panel-ai-summit",{"title":673,"description":1011},"blog\u002Fdev-panel-ai-summit","yS0Seb5funkL9smpxGsuPvAMQToALQEeq5KqT7SBPFU",{"left":1021,"top":1021,"width":1022,"height":1022,"rotate":1021,"vFlip":1012,"hFlip":1012,"body":1023},0,24,"\u003Cpath fill=\"currentColor\" d=\"m7.825 13l4.9 4.9q.3.3.288.7t-.313.7q-.3.275-.7.288t-.7-.288l-6.6-6.6q-.15-.15-.213-.325T4.426 12t.063-.375t.212-.325l6.6-6.6q.275-.275.688-.275t.712.275q.3.3.3.713t-.3.712L7.825 11H19q.425 0 .713.288T20 12t-.288.713T19 13z\"\u002F>"]