AI Native Dev

????’???? ???????????? ?????? ?????? ????-?????????????? ?????????????? ?????????????????? ???????????? ?????? ???????????? ???????????????? ???????????????? ???????????????????— from product prototyping and app development to DevOps, security, and beyond. The landscape already includes 20–30+ tools like Cursor, Cline, Anthropic Claude Code, StackBlitz Bolt.new, Replit, SpecStory, Galileo AI, Figma AI, Wized, a0.dev (YC W25), bloop, BrainGrid AI, UIThub, Specmatic, Cognition Devin, OpenHands, Heal.dev, Ranger, CodeRabbit, Dosu, Mintlify, AIAC, GitLab Duo, incident.io, Sift Dev, Snyk Deepcode, Semgrep, Wasmer, Base44 in the landscape, and we’re calling on both the community and vendors to help keep it fresh and accurate. Have a tool we missed? You can contribute via a pull request to our GitHub repo or submit it through the form linked in the comments. ?? Don’t forget to subscribe to our weekly newsletter to stay in the loop on updates — including new tools, revamped categories, and emerging trends in the ecosystem. Let’s build this together.

?? ????-???????????? ?????? ???? ???????????????? ???? — ??0’?? ?????????????????????? ???????????????????????? ?????? ???????? What used to take hours—provisioning databases, wiring APIs—is now one prompt away. With v0’s new integrations, services like ????????????????, ????????, and ?????????????? can now be directly integrated during app generation. Why this matters for developers: - More tools mean faster prototyping and greater flexibility. - Deep integrations are on the horizon—imagine a future where one prompt unlocks Shopify, Stripe, Snowflake, etc. - As AI-native development grows, new forms of lock-in may emerge — interoperability will be key. AI platforms are starting to shape how we build, not just what. How do you see this changing your workflow? Would love your take?? ???????? ???? ?????? ???????? ?????????????? ???? ???? ?????? ????????????????! Written by Baptiste Fernandez #AINative #DeveloperTools #Productivity #Vercel #Supabase #InfraAsCode #SoftwareEngineering

???????????? ?????????????? ?????? ?????? ???????????? ?????????? ???????? ???? ??????’?? ???????? ??????. They control how AI tools behave — tone, expertise, limitations — but most teams lock them away like they’re a state secret. If you’re building AI-powered tools for developers, it’s time to rethink that. - Predictable behavior - Easier debugging - Better integrations - Actual trust with your dev users Developers want to understand the systems we’re working with — prompts included. Leaked prompts are already making the rounds on X. What if you owned the narrative instead? Loved this post from Dion Almaer breaking down why you should document and share your developer system prompts — and how to avoid the common pitfalls. ?? ???????? ???? ?????? ???????? ?????????????? ???? ???? ?????? ????????????????! #AI #PromptEngineering #DevTools #LLM #OpenSource #AINativeDev

???? ???? ???????????????? ?????? ???? ???????? — ???????????? ???????? ???????????? ????????????????. New tools, shifting workflows, and even our roles as devs are evolving. Some days it feels like we’re coding with the AI, other days for the AI. We’re running the ???? ???????????? ?????? ???????????? 2025?to answer the big questions developers care about: - What AI-powered tools are actually worth using? - Is AI helping (or hurting) your productivity? - How is AI impacting testing, debugging, documentation, DevOps? - What skills matter more now — and which ones are getting automated? ?????? ???????? ????? Because we’re all figuring this out in real time — and your experience matters. The insights from this survey will go straight back to the dev community in our ?????????? ???? ???? ???????????? ?????? ????????????. Help benchmark what’s real vs. hype in AI dev tools — from one dev to another. Want the full report? Subscribe on the AI Native Dev #AINative #DevTools #LLMs #AI #Survey2025

LLM Security is more than just stopping prompt injections or jailbreaks. It’s about protecting traditional software vulnerabilities and new AI-specific risks—like manipulating model outputs or surfacing false information. Listen to our deep dive with Mateo Rojas-Carulla Co-founder of @LakeraAI → https://tessl.co/3DM6e3s #AISecurity #AINativeDev

???? ??????’?? ?????????????????? ???????????????????? — ????’?? ???????????????? ?????????? ???? ???????????? ??????????. What if writing code stops being your main job? ?? AI is shifting how and where software engineers operate — and it’s happening fast. In his latest post, Patrick Debois breaks down ?????? 4 ???????????????? ???? ???? ???????????? ?????????????????????? shaping our future: ?? ???????????????? → ?????????????? — less typing, more reviewing and steering ?? ???????????????????????????? → ???????????? — describe the goal, let AI build ?? ???????????????? → ?????????????????? — test more ideas, faster ?? ?????????????? → ?????????????????? — expertise becomes the edge, not just code If you’re building with AI (or figuring out what this shift means for your role), this is worth the read. ?? ???????? ???? ?????? ???????? ?????????????? ???? ???? ?????? ????????????????! We’ll dive deeper into each pattern soon — hit subscribe to follow along.

???????????????? ???? ????????????????: ????????????????????, ???????????? ??????????????????, ?????? ?????? ???????????? ???? ?????????????? AI systems are under attack—jailbreaks, prompt injections, and evolving threats make securing them more challenging than ever. In this episode of the AI Native Dev Podcast, Guy Podjarny sit down with Mateo Rojas-Carulla, an expert in AI security, to break down: - The real risks behind over-permissioned AI systems - How attackers manipulate AI models through jailbreaks & prompt injections - The Dynamic Security Utility Framework (DSEC) – a game-changer for balancing security & usability - The rise of agentic systems and their hidden vulnerabilities - Why red teaming is critical to securing AI applications If you’re building with AI, you need to understand the risks. Tune in now to learn how to harden your AI systems before attackers do it for you. ?? Listen now: https://tessl.co/43Q2kBa #AINativeDev #AIThreats

?????????? ?????????? ???????????? ???? ????-???????????? ??????????????????????? ? As AI-native development evolves, exploring which models excel in different aspects of the workflow is both an exciting and critical space. Amy Heineike and the AI Engineering team at Tessl ran a range of coding challenges to analyse the performance of o3-mini and GPT-4.5.?? ????;????? - o3-mini outperformed GPT-4.5 within Tessl’s internal benchmarks– showing strong potential for AI-native development. - We don’t see a single model serving all use cases in AI-native development workflow. - Combining multiple models and leveraging each model's unique strengths is where AI-native development is heading. ?? Read the full article from Baptiste Fernandez: https://tessl.co/3XOV0SA ?? What’s your experience with these models? Let’s discuss in the AI Native Dev community on Discord! #AINativeDevelopment #o3-mini #GPT4.5

?????????????? ?????? ????-?????????????? ???????????????? ????????????????????! If you’re building, breaking, or experimenting with AI in dev workflows, you need to be in the right community. That’s why we built the ???? ???????????? ?????? ?????????????? —a space where engineers, builders, and problem-solvers come together to share ideas, tackle challenges, and push the limits of AI-powered development. ?? Who’s in? ? Devs automating their workflows with AI ? Engineers building AI-powered apps and tools ? Researchers exploring AI’s impact on software development ? Open-source contributors shaping AI’s future ?? Why join? ? Get real-time insights from fellow devs ? Stay ahead with the latest AI development trends ? Troubleshoot challenges with a community that gets it ? Find collabs, projects, and inspiration #AINativeDev #SoftwareDevelopment #AINative #MachineLearning #DevCommunity

?????? ?????????????? ?????????????? ??????????!?AI deception, ethics, and… Werewolves? ???? In this wildly entertaining episode of the AI Native Dev Podcast, we welcome back Macey Baker, Community Engineer at Tessl, to dive into ???????? ?????? ???????????? ?????????????????? ??????????. We ran AI-powered versions of ???????????????????? and ?????????? ?????? ??????????, putting top language models—OpenAI’s GPT, Anthropic’s Sonnet, Llama, DeepSeek R1—to the test. ?????????? ???????????? ???????? ?????? ???????? ??????????????????? ?????????? ???????????? ??????????????? ?????? ?????????????? ?????? ?????????? ??????! ?? ?? ?????? ????????????????????: - How AI handles ethical dilemmas in social deception games - Unexpected behaviors from OpenAI, Anthropic, Llama, and DeepSeek models - Insights on AI safety, gaming, and LLM unpredictability - The hilarious (and terrifying) moments when AI goes full traitor mode If you love LLMs, gaming, AI safety, or just a good mind-blowing experiment, this episode is for you. Listen now and let us know in the comments: - Which AI model do you think was the most deceptive? - Would you play a social game with AI players? #AI #LLMs #Gaming #AIethics #Podcast #AINativeDev #SocialDeceptionGames #Werewolves #SplitAndSteal #MachineLearning