Google for Developers

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Your source for developer best practices, updates, and resources.

A person is standing in front of a dark blue space-themed background. To their left is a code window titled "agents-pipeline" showing Python code for an AI agent-driven newsletter, while a blue rocket takes off on the right. Large white text across the bottom reads "Ship AI faster."
A large group of people, many wearing matching black and blue jerseys with an "A" logo, pose around a black race car with "Google Antigravity" and the number "10" on its side. A blue banner on the left side displays the "Google Developer Experts" name and a colorful logo. They are at a racetrack in front of garage bays under a green metal roof, with various sponsor signs in the background.
A friendly white robot with "tunix" on its chest is centered under the large header "AGENTIC RL." Colorful pipes connect the robot to various icons representing fields such as education, health, finance, gaming, and technology against a blue-purple background with circuit board patterns. This illustration highlights the diverse real-world applications of agentic reinforcement learning across different sectors.
An isometric map titled "Explore your Builders Hub" features a blue "START" button branching into three paths: updates, events, and learning. Text labels describe sections like "Get the latest updates," "Local and virtual happenings" leading to an "Events" box, and "Grow your skill set" leading to a "Learning" box, all set within a playful park environment with trees, a basketball hoop, and buildings.
An infographic titled "Some dev days are just best explained in emojis" shows a timeline of a developer's day across five time-stamped rows, each with a set of descriptive emojis. The day progresses from a productive morning (9:00–11:00 a.m.) with coffee and a laptop, to debugging a bug (11:00 a.m.–2:00 p.m.), experiencing frustration (2:00–4:30 p.m.), and a high-stakes deployment represented by a rocket and fire (4:30–6:00 p.m.). The final row shows a breakthrough occurring while asleep from 2:00 to 2:30 a.m., featuring a sleeping person, a mind-blown face, and a green check mark.
White text on a black background announces, "Expanding Choice in Gemini Enterprise Agent Platform: Introducing Grounding with Parallel Web Search." The bottom left features the Gemini Enterprise Agent Platform logo, a colorful four-pointed star, while the bottom right shows the Parallel logo, a circular icon of horizontal bars above the word "parallel."
An infographic depicting a "Systems Engineering Playbook" and Google Cloud TPU resources used to optimize a large AI model labeled "Qwen 3.5-397B MoE." The image features server racks in the background with labels for JAX/Pallas and vLLM/SGLang, alongside performance metrics showing a 3.1x increase in Decode and a 4.7x increase in Prefill. A large Google logo and various technical labels like "v7x" and "IRONWOOD" surround a central book icon and a complex neural network diagram.
A conceptual diagram titled "Inside the TPU Developer Hub" features six colorful boxes highlighting capabilities like building with preferred frameworks, deploying high-throughput workloads, and optimizing model execution. These text boxes are linked to illustrative graphics, including a data center, a software stack diagram showing TensorFlow and PyTorch connecting to OpenXLA, a TPU chip, and a secure laptop setup. The visual represents a comprehensive environment for machine learning development and deployment.
A social media post from googlefordevs is centered on a bright blue background decorated with black outline symbols like a semicolon, curly bracket, and waves. The post reads, "Documentation is a love letter to your future self. Don't leave yourself on read." followed by an open book emoji. Engagement icons at the bottom of the white post box show 2.2K likes, 47 comments, 167 reposts, and 32 shares.
An infographic titled "Steps to building apps" compares a "Standard workflow" on the left with an "Optimized workflow" on the right. The standard workflow, illustrated by a simple blue flowchart, involves writing manual boilerplate, managing tedious workflows, wrestling with infrastructure, and running slow background tasks. In contrast, the "Optimized workflow" is depicted with a vibrant gradient and playful icons, outlining a process of building app prototypes from prompts, offloading complex coding, minimizing deployment friction, and delegating 24/7 execution.
Image reads "AlphaEvolve on Google Cloud" with the Google Cloud logo at the top and the subtext "Define | Measure | Optimize | Apply" below the main title. The white text sits against a black background, with a vibrant, wavy, 3D abstract shape in purple and yellow along the bottom.
A diagram illustrates the Agent Quality Flywheel, highlighting a detailed five-step "Inner Loop" for building and testing coding agents. The flywheel consists of three stages—Learn & Refine, Build & Test, and Ship & Monitor—with the inner loop expanding from the Build & Test phase to show steps for preparing data, generating traces, grading, analyzing, and optimizing. A feedback arrow indicates that steps two through five are repeated iteratively to refine the agent's performance.
Large text on a dark blue background asks "Which Nano Banana model is right for you?" with the words "Nano Banana" in blue. Smaller white text below says, "Choose the model built for your specific velocity, scale, or absolute quality requirements." A blue L-shaped arrow points toward a circular icon at the bottom right containing a partially peeled yellow banana.
Large white text reads "Android Bench" in the upper-left corner of a dark background. Below the text, four slanted, overlapping rectangles in varying shades of green rise diagonally from the bottom, accented by small green four-pointed star icons. The graphic represents a title card or logo for an Android benchmarking project.
A person runs forward holding a laptop and a staff topped with a code symbol, surrounded by circular arrows. Text reads, "The groundwork begins by building the habit," below a calendar showing "100 days of code." The person wears a red shirt with a code-inspired heart symbol, a green cape, and a backpack, illustrating the adventurous journey of developing a daily coding habit.
An infographic titled "Windows hotkeys" displays three keyboard shortcuts as 3D rendered keys on a textured background. The featured shortcuts are Windows+D to "Minimize all windows," Windows+up arrow to "Maximize current window," and Windows+left/right arrows to "Move current window to the left/right." Each set includes descriptive labels like "Practical!" or "Handy!" alongside colorful icons and hand-drawn elements.
A close-up of a fluffy brown and white rabbit chewing on a green lettuce leaf against a solid peach background. A blue text bubble above the rabbit reads: "what does USB stand for? (wrong answers only)"
The light-blue Go gopher mascot, wearing safety goggles and a tool belt, gestures toward the title "ADK Go v2.0" and a central icon. To the right, a code editor displays Go programming language imports and functions, while a diagram below illustrates "Graph based workflows" and "Human-in-the-loop review" with connected nodes. The background is a dark blue technical landscape with glowing circuitry and isometric cubes.
A central blue rectangle on a light grey background contains the text "POV: You finally understand the regex you copied three years ago." The rectangle is surrounded by four abstract shapes: a black starburst in the top-left, a light blue rounded form in the top-right, a blue triple-lobed shape in the bottom-left, and a light blue pixelated cross in the bottom-right.
Image of a person in an office looking at their watch
Image of two speakers onstage at Google I/O Connect Berlin
A bright yellow graphic with large text reading "Google Developer News" and "June 2026" below it on the left. On the right is a black and white photo of a smiling person.
A graphic for Google I/O Connect, listing event dates for Berlin (June 25), Bengaluru (July 14), and Shanghai (August 12-13). Centrally featured is the "Google I/O Connect" logo above a list of topics—AI, Android, Chrome, and Cloud—and event highlights like sessions, workshops, and meetups. The black background is framed by colorful, rainbow-gradient icons.
Blue text reads "Build with Gemma" and "Host your own hackathon" against a dark background with blurred blue streaks. A geometric blue logo with a four-pointed star inside a circle is on the right, and a small pill-shaped button at the top left says "Your community" next to a red pushpin icon.
A diagram titled "Building Cross-Language Multi-Agent Team with ADK & A2A" illustrates a workflow between a green "Python Agent Extractor" and a yellow "Go Agent Validator" connected via a central "A2A Agent2Agent Protocol" and top-level "ADK Orchestration." The numbered four-step process shows the Python Agent submitting a task that is relayed through A2A to the Go Agent, which then returns a result back through the protocol. Bottom boxes highlight key benefits: Freedom of Technology (combining Python's AI with Go's reliability), Simplified Integration, Resilience & Safety, and Isolated Auditing.
Image of an otter with text reading "what does IoT stand for? (wrong answers only)"
A colorful, glowing crescent-shaped abstract form with gradients of blue, green, and red is positioned on the left against a black background. Large white text on the right side of the image reads "Interactions API" with the smaller text "Now generally available" underneath.