GitHub Copilot previews agent mode as market for agentic AI coding tools accelerates - Related to chrome, tools, company, just, private
Chrome incognito just got even more private with this change

Google Chrome’s Incognito mode and InPrivate just became even more private, as they no longer save copied text and media to the clipboard, . The changes apply to Windows 11 and 10 consumers and were rolled out in 2024. However, neither Microsoft nor Google documented it.
Even though this change is not a recent feature, it’s odd that neither tech giant thought it was worth mentioning. Previously, the default setting was that when a user saved text or images to the clipboard history, it was synced with Cloud Clipboard on Windows. Moreover, accessing this synced content was as simple as pressing the Windows and V keys, which poses a security risk, especially when using incognito mode.
This change truly makes Chrome Incognito more private since whatever happens in Chrome Incognito should stay there, just as it should. On March 25, 2024, Microsoft presented a code enhancement that prevents copied content from being saved to the clipboard history or synced to the cloud when a user is in Incognito Mode. Furthermore, the software giant also recognized that Windows has unique clipboard formats to leave out sensitive data from syncing, but platforms such as Android do not function in the same way.
The Windows clipboard formats that prevent copied content from being saved in history are:
ExcludeClipboardContentFromMonitorProcessing → Stops saving to history & cloud.
CanIncludeInClipboardHistory=0 → Stops saving in history.
CanUploadToCloudClipboard=0 → Stops cloud sync.
The changes to Chrome Incognito also apply to macOS and iOS, though the implementation differs slightly. The system clears the clipboard after copying on macOS to stop sync on iPhones and Macs. Interestingly, Google has not officially stated anything about this, but could this change result from the class-action lawsuit that cost the business $5 billion?
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GitHub Copilot previews agent mode as market for agentic AI coding tools accelerates

Agentic AI is all the rage today across multiple sectors, including application development and coding.
Today at long last, GitHub has joined the agentic AI party with the launch of GitHub Copilot agent mode. The promise of agentic AI in development is about enabling developers to build more code with just a simple prompt. The new agent mode will enable Copilot to iterate on its own code and fix errors automatically. Looking forward, GitHub is also previewing a fully autonomous software engineering agent, Project Padawan, that can independently handle entire development tasks.
The new agentic AI aspects mark the latest step in the multi-year evolution of the AI-powered coding development space that GitHub helped to pioneer. The Microsoft-owned GitHub first previewed GitHub Copilot in 2021, with general availability coming in 2022. In the AI world, that’s a long time ago, before ChatGPT became a household name and most people had ever heard the term “generative AI.”.
GitHub has been steadily iterating on Copilot. Initially, the service relied on the OpenAI Codex large language model (LLM). In October 2024, individuals gained the ability to choose from a variety of LLMs, including Anthropic’s Claude, Google’s Gemini [website] and OpenAI’s GPT4o. Alongside the agent mode launch, GitHub is now also adding support for Gemini [website] Flash and OpenAI’s o3-mini. Microsoft overall has been emphasizing agentic AI, assembling one of the largest AI agent ecosystems in the market.
The new GitHub Copilot agent mode service comes as a series of rivals, mostly led by startups, have shaken up the development landscape. Cursor, Replit, Bolt and Lovable are all chasing the growing market for AI-powered development that GitHub helped to create.
When GitHub Copilot first emerged, it was positioned as a pair programming tool, which pairs with a developer. Now, GitHub is leaning into the term peer programming as it embraces agentic AI.
“Developer teams will soon be joined by teams of intelligent, increasingly advanced AI agents that act as peer-programmers for everyday tasks,” mentioned GitHub CEO Thomas Dohmke. “With today’s launch of GitHub Copilot agent mode, developers can generate, refactor and deploy code across the files of any organization’s codebase with a single prompt command.”.
Technical breakdown: How GitHub’s new agent architecture works.
Since its initial debut, GitHub Copilot has provided a series of core aspects. Among them is intelligent code completion, which is the ability to suggest code snippets to execute a given function. Copilot also functions as an assistant, allowing developers to input natural language queries to generate code, or get answers about a specific code base. The system, while intelligent, still requires a non-trivial amount of human interaction.
Agent mode goes beyond that. , the platform enables Copilot to iterate on its own output, as well as the results of that output. This can significantly improve results and code output.
Here’s a detailed breakdown of agent mode operation.
When given a prompt, agent mode doesn’t just generate code — it analyzes complete task requirements;
, the system can “infer additional tasks that were not specified, but are also necessary for the primary request to work”.
The agent iterates on both its own output and the result of that output;
It continues iteration until all subtasks are completed.
Automatically recognizes errors in its output;
Can fix identified issues without developer intervention;
Analyzes runtime errors and implements corrections;
implies and executes necessary terminal commands.
Project Padawan brings the ‘force’ to development.
While agent mode certainly is more powerful than the basic GitHub Copilot operation, it’s still not quite a fully automated experience.
To get to that full experience, GitHub is previewing Project Padawan. In popular culture, a ‘Padawan’ is a reference to a Jedi apprentice from the Star Wars science fiction franchise.
Project Padawan builds on the agent mode and extends it with more automation. In a blog post, Dohmke noted that Padawan will allow people to assign an issue to GitHub Copilot, and the agentic AI system will handle the entire task. That task can include code development, setting up a repository and assigning humans to review the final code.
“In a sense, it will be like onboarding Copilot as a contributor to every repository on GitHub,” Dohmke expressed.
Comparing GitHub’s agent to other agentic AI coding options.
GitHub in some respects is a late entrant to the agentic AI coding race.
Cursor AI and Bolt AI debuted their first AI agents in 2023, while Replit released its agent in 2024. Those tools have had over a year to iterate, gain a following and develop brand loyalty.
I personally have been experimenting with Replit agents for the last several months. Just this week, the corporation brought the technology to its mobile app — which you wouldn’t think is a big deal, but it is. The ability to use a simple prompt, without the need for a full desktop setup to build software, is powerful. Replit’s agent also provides AI prompt tuning to help generate the best possible code. The Replit system runs entirely in the cloud and individuals like me don’t need to download anything.
Bolt doesn’t have a mobile app, but it does have a really nice web interface that makes it easy for beginners to get started. Cursor is a bit more bulky in that it involves a download, but it is a powerful tool for professional developers.
So how does GitHub Copilot agent mode compare? GitHub is the de facto standard for code repositories on the internet today. More than 150 million developers, including more than 90% of the Fortune 100 companies, use GitHub. , more than 77,000 organizations have adopted GitHub Copilot. That makes the technology very sticky. Those organizations already relying heavily on GitHub and Copilot are not going to move away from the technology easily.
In comparison to Replit and Bolt, GitHub Copilot agent mode is not a web-based feature, at least not today. Its preview is currently only available with GitHub Copilot in VS code. That creates a small barrier to entry for absolute newbies for sure, but the reality is also that VS code is arguably the most popular and widely used integrated development environment (IDE).
Developers are a picky bunch. That’s why there are so many different programming languages and frameworks (there seems to be a new JavaScript framework emerging every other month). The bottom line is about comfort and workflow. For existing GitHub Copilot and VS code people, the new agent mode brings a much needed feature that will help improve productivity. For those that aren’t stuck in the GitHub Copilot world, agent mode could very well help bring Github Copilot back into the conversation about which agentic AI-driven coding tool to use.
GitHub Copilot agent mode is currently available in preview and requires VS code insiders, which is intended for early adopters. GitHub has not yet provided any pricing details or a date for general availability.
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The Game Company raises $10M on blockchain-based cloud gaming

The Game business (TCG), a Dubai gaming startup, has raised $10 million through equity and token sales to build the next cloud gaming infrastructure based on blockchain technology.
Over the past two years, the business mentioned it has built a platform that can be used to play any games from PC or consoles, on any device, anywhere in the world, thanks to its patented low-latency proprietary tech that allows lag free gameplay.
The Game business has already been piloting the system with various early adopters. In September 2024, TGC unveiled its strategic collaboration with Aethir, a provider of decentralized GPU-based compute infrastructure. Since then, it has joined Google’s and Microsoft’s startup programs. Aethir finds underused graphics processing units (GPUs) and, with the help of incentives from blockchain tokens, gets the providers to deliver AI processing or cloud streaming services to the applications that need it.
Both TGC and Aethir operate in the cloud gaming and decentralized infrastructure space, but Masud stated his firm approaches things differently. Aethir focuses on using underutilized GPUs to provide decentralized computing power for AI and blockchain applications.
TGC, on the other hand, uses proprietary ultra-low latency cloud technology to deliver high-performance gaming without the need for expensive hardware. The goal is to make gaming more accessible to everyone, he noted.
“While we can optimize for underutilized GPUs, we’re not limited to that approach. With partnerships from major cloud providers, TGC now covers 98% of the globe,” Masud stated.
Telcoin and its CEO Paul Neuner, BullPerks and Singularity DAO led the round, with over-the-counter investments through NodeMarket.
TGC has raised $10 million from investors.
The organization revealed it aims to deploy its native cryptocurrency token followed by the public product launch later this year. The recent funding round follows the initial $5 million raised in April 2023 at a $40 million post money valuation. It also raised $[website] million in token sales. The Game organization revealed it has 500,000 wait-listed people for its upcoming cloud-gaming platform.
The Game firm isn’t the only cloud gaming infrastructure. It competes with already established.
big tech firms such as Nvidia with its GeForce Now, Amazon’s Luna and more. And it’s also years behind those other companies.
CEO Osman Masud showcased in a statement that TGC distinguishes itself from its competitors thanks to its low-latency patented technology, which simplifies lag-free gameplay on any device.
“Most of the new capital will be used to enhance the platform and its integration within Web3 as well.
as Web2 ecosystems, hoping to take on legacy cloud-gaming with a twist of blockchain,” presented Masud. “This funding validates our approach to addressing gaming worldwide and making it accessible to people anywhere in the world, without any hardware or software restrictions.”.
He added, “Our proprietary patented technology allows us to compete within the industry with the.
power of blockchain, making it easy for anyone, anywhere in the world to play PC or console games,.
TCG is using decentralized infrastructure to enable cloud gaming on any device.
“The Game corporation’s cloud gaming platform perfectly aligns with the Telcoin Association’s vision,” revealed Paul Neuner, CEO of Telcoin, in a statement. “By leveraging mobile operator infrastructure globally to connect customers with premium gaming experiences, they demonstrate exactly how Telcoin Network can transform access to Web3 services worldwide through existing telecom channels.”.
Currently, The Game firm has access to over 1,300 titles from Steam, PlayStation and Microsoft Store through its cloud based infrastructure on any device with a stable internet connection.
“I’ve always believed in supporting projects that challenge the norm. The Game corporation is doing just.
that by making high-quality, lag-free Web3 gaming accessible to everyone on any device. Their.
innovative cloud tech is a game-changer, and I’m excited to back them as they transform the future of.
gaming,” saidEran Elhanani, CEO of BullPerks, in a statement.
Masud stated that TGC has completed testing across multiple cloud providers, including AWS, Google Cloud, and Tencent Cloud, with Microsoft Azure emerging as a key partner. Given Azure’s competitive edge in LATAM, TGC is leveraging its infrastructure to scale operations in the region, he stated.
“The AI boom has spurred massive demand for GPUs and cloud gaming,” Masud mentioned. “As many enterprises seek to implement emerging technologies into their businesses, cloud-based infrastructures have the potential to provide ease of access not just for games but also for emerging tech to broader retail markets, especially within developing areas such as Asia Pacific and Latin America.”.
Masud mentioned The Game business was officially registered in December 2022, but ideation and development started in January 2022. The business has 84 full-time, part-time and consulting staff.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
12.0% | 14.4% | 15.2% | 16.8% | 17.8% | 18.3% | 18.5% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
16.8% | 17.5% | 18.2% | 18.5% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Digital Transformation | 31% | 22.5% |
IoT Solutions | 24% | 19.8% |
Blockchain | 13% | 24.9% |
AR/VR Applications | 18% | 29.5% |
Other Innovations | 14% | 15.7% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Amazon Web Services | 16.3% |
Microsoft Azure | 14.7% |
Google Cloud | 9.8% |
IBM Digital | 8.5% |
Salesforce | 7.9% |
Future Outlook and Predictions
The Chrome Incognito Just landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of digital innovation evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.