Agents and Engineers | Agentic AI, Software & Agentic Engineering kapak görseli

Agents and Engineers | Agentic AI, Software & Agentic Engineering

Agents and Engineers | Agentic AI, Software & Agentic Engineering

Yazan: Dan Gerlanc
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The podcast about agentic AI, agentic software engineering, and entrepreneurship. Each episode is a conversation with people building with agentic AI. Join me as I follow the stories, the behind-the-scenes, and the people behind the code. About your host, Dan Gerlanc: Dan brings his experience as a 4x founder with 20 years of experience in ML and software to find unique insights on the impact of AI in tech, software engineering, and entrepreneurship.© 2026 Dan Gerlanc LLC Economics
Bölümler
  • From Python Core to Personal Apps: Working with AI Agents

    From Python Core to Personal Apps: Working with AI Agents
    3 Nov 2026

    Mariatta Wijaya is a multi-award-winning open source maintainer and contributor with over 20 years of software engineering experience. A Python core developer focused on workflow and documentation, she advises and administers Global PyLadies, co-founded PyCascades, and formerly chaired PyCon US, PyCascades, and PyLadiesCon.

    Dan and Mariatta discuss why unreviewed AI-generated contributions burden CPython maintainers, even as Mariatta uses AI to write code. She shares how she reviews plans and results, records decisions, and builds Claude skills to prevent agents from repeating mistakes.

    They also discuss her self-hosted personal apps, the limits she places on AI advice, and how she uses AI to help promote community events while keeping time for speaker mentorship. Mariatta explains why agent instructions should be useful to humans and why she packages recurring work as reusable scripts.

    Full episode notes

    Transcript

    Chapters

    • (00:00) - Introduction
    • (01:35) - AI contributions and CPython maintainers
    • (05:45) - Experience, review, and learning to code
    • (09:16) - Migrating off Heroku with AI
    • (12:17) - Documenting decisions and iterating on plans
    • (19:26) - Claude skills and repeated Django mistakes
    • (23:19) - Reviewing software as product owner and tester
    • (28:01) - Where Mariatta prefers human judgment
    • (34:24) - Personal apps and alternatives to subscriptions
    • (43:43) - AI for community organizing
    • (50:44) - Respecting project guidelines and reviewing output
    • (53:27) - Documentation for humans and agents
    • (55:36) - Git skills and reusable automation scripts
    • (59:46) - Speaker management and spreadsheet parsing

    ⠀

    Links from the show

    --------------------

    • CPython
    • Claude skills
    • Django
    • Heroku
    • Claude
    • Calendly
    • Doodle
    • Sessionize
    • architectural decision record

    ⠀

    Guests

    -------

    Mariatta Wijaya, Python Core Developer

    • Website
    • Mastodon
    • Bluesky
    • LinkedIn

    ⠀

    Follow the podcast

    -------------------

    • LinkedIn
    • Threads
    • Instagram
    • TikTok

    ⠀

    Follow Dan Gerlanc

    -------------------

    • X
    • LinkedIn
    • Threads
    • Bluesky
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    1 sa. ve 3 dk.
  • The AI Sandwich, Agent Primitives, and Designing with AI

    The AI Sandwich, Agent Primitives, and Designing with AI
    27 Oct 2026
    Trevin Chow is has more than 25 years of experience in product and design, held product leadership roles at Axon, Sketchy, Nike, and Microsoft, and co-founded Chewsy. He is a core maintainer of Compound Engineering, a plugin for Claude Code, Codex, and other agent harnesses. Dan and Trevin discuss how AI changes the work of building software, especially design and product judgment. Trevin describes starting with a value proposition before generating designs, using visual references to guide exploration, and keeping humans involved in critique. His “AI sandwich” puts human attention on defining the work and polishing the result while agents handle implementation. Concrete examples include illo's character packs for consistent illustrations and Compound Engineering's reviews across model families. Trevin explains why newer models call for clearer goals and fewer prescribed steps, while extensive evaluations, changing model behavior, and outdated plugins make maintenance costly. The conversation also covers the supervised Hermes Agent setup Trevin built for his daughter, including boundaries around companionship and homework help. It closes with Jev-powered prototypes and Energon, his open source service for sharing documents and files across agents without losing control of the underlying context. Full episode notes Transcript Chapters (00:00) - Product optimism and the changing craft of software(09:53) - Design exploration with AI agents(14:24) - Start with the value proposition, then explore designs(21:21) - Agent primitives and the problem of sharing context(24:54) - Cross-model review and the AI sandwich(32:19) - illo and consistent character illustrations(40:08) - Writing skills for changing models(43:03) - Evaluations, model regressions, and maintenance costs(47:36) - Future skills and the plugin update problem(52:13) - A supervised Hermes Agent for a child(01:02:41) - Jev experiments in document analysis and book discovery(01:06:54) - Energon and context that travels between agents ⠀ Links from the show -------------------- Compound EngineeringilloEnergonHermes AgentImpeccableJevGrok botMuseClaude CodeCodexCursorCloudflare WorkersCleanShot XFigmaDaniel Lemiresimdjsondesign systemrisograph ⠀ Guests ------- Trevin Chow, Product Leader and Builder WebsiteLinkedInX ⠀ Follow the podcast ------------------- LinkedInThreadsInstagramTikTok ⠀ Follow Dan Gerlanc ------------------- XLinkedInThreadsBluesky
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    1 sa. ve 14 dk.
  • Design Docs, Nightly Audits, and Vycari's Agent Development Loop

    Design Docs, Nightly Audits, and Vycari's Agent Development Loop
    20 Oct 2026
    Allen Hutchison is the co-founder and CTO of Vycari, building AI agents for everyday tasks with Chris Perry. He spent 21 years at Google, most recently as a Distinguished Engineer at Google DeepMind, helped found Gemini CLI, and built the Antigravity SDK. His earlier leadership work included Google's mapping products, Core ML, and the AI Developer organization. He writes Letters from Silicon Valley.Dan and Allen discuss why consumer agents need familiar interfaces. Vycari embeds agents in mini apps, including a calendar booking tool that works with meeting preferences and buffer time. Allen wants users to think about the assistant's usefulness rather than the technology behind it.Vycari's two founders have landed well over a thousand PRs in roughly a month. Planning documents guide implementation, nightly jobs keep those documents aligned with code, and review follow-ups become issues that agents can implement. Independent reviews and reflection on user trajectories help identify problems, while Allen retains the final merge decision.Their engineering choices favor quick feedback and manageable costs. Vycari is separating microservices into their own repositories and runs Python and Postgres on VPSs. Allen explains how inexpensive models, stronger models writing their procedures, and deterministic integrations support the goal of a $5 monthly subscription.Full episode notesTranscriptChapters(00:00) - Allen's path to Gemini CLI(06:46) - Open-source contributions and approval fatigue(11:08) - XLA and the infrastructure behind machine learning(13:52) - Vycari and agents inside familiar apps(21:02) - A calendar booking tool that knows your preferences(22:34) - Two founders, a thousand PRs, and startup economics(29:29) - Planning documents and the automated development loop(37:55) - Reflection agents and nightly codebase audits(39:57) - Product context and tiers of coding agents(42:24) - CI, test coverage, and smaller repositories(48:06) - Python, Postgres, and conventional infrastructure(51:53) - Refactoring at a scale that used to be impractical(54:18) - Unexpected agent behavior and database migrations(59:19) - Inexpensive models and a $5 subscription goal(01:06:02) - The invisible work in a reliable agent harness⠀Links from the show--------------------VycariGemini CLIClaude CodeGreptileGitHubObsidianAntigravity SDKRoborevHostingerPythonPostgresXLATheanoJAXCUDAGemini Flash LiteClaude HaikuGPT LunaGemmaGLMDeepSeekSupabaseNeonModalmicroservicescontinuous integrationfine-tuningyou ain't gonna need it⠀Guests-------Allen Hutchison, Co-Founder & CTO, VycariWebsiteVycariLinkedInGitHubX⠀Follow the podcast-------------------LinkedInThreadsInstagramTikTok⠀Follow Dan Gerlanc-------------------XLinkedInThreadsBluesky
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    1 sa. ve 8 dk.
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