Jiang Yixin

Biodata

Feature	Details
Name	Jiang Yixin (姜亦心)
Alias(es)	Little Jiang; Xiao Jiang 48 92
Gender	Female
Affiliation	Source Code Technology; Origin Group following the merger of Source Code Technology and Source Intelligence Technology 48 404
Occupation/Role	Head of Product, also addressed as Vice President Jiang; product lead and founder of Riding the Wind; co-creator of Deep Blue; responsible for Source Code's products within Origin Group; formerly backend developer and product manager 96 102 156 212 290 404
First Appearance	Chapter 45

Career Timeline

Role	Chapter	Notes
Backend Developer	48	Joined Source Code Technology after tearing up her Celestial Pivot offer; assigned the Tianshu Cloud adaptation. 48
Product Manager	102	Officially transferred from development into product management and began reporting to Su Niannian. 102
NeusAI Collaboration Project Lead	146	Became the practical lead for Source Code's collaboration with NeusAI, including coordination with the Silicon Valley team. 146
Internal Programming Agent Co-Creator	148	Developed an internal programming Agent with Qian Xiaole and oversaw its company-wide internal rollout. 148
Interviewer and Onboarding Lead	155	Participated in hiring a product manager and handled Li Wen's onboarding. 155
Head of Product	156	Promoted to lead the product division, which reports to Su Niannian. 156
Riding the Wind Product Lead	203	Treated the coding Agent as her first product as a lead and prepared its closed beta. 203
Riding the Wind Founder and Launch Presenter	212	Led Riding the Wind's public-beta launch at Source Code's first annual meeting, delivering the keynote and live demonstration. 212
Model-Migration Lead	250	Was assigned to migrate Riding the Wind and Open Things from external model calls to Glutinous Rice Ball. 250
Personal Growth System Co-Creator	280, 281	Designed an AI-native workplace growth system and built its rough internal prototype with Qian Xiaole over a weekend. 280 281
Deep Blue Product Lead and AI Skills Proposer	290	Received approval for company-wide deployment of the Growth Assistant, named Deep Blue, and further exploration of reusable expert-level AI Skills. 290
Glutinous Rice Ball Chat Product Lead	344, 349, 360	Reviewed the product's rapid adoption, refined its positioning with Su Niannian, and described it as a product she had helped create. 344 349 360
Tangyuan Protocol Standards Coordinator	364, 369, 372	Took responsibility for the standards committee's integration rules, service tracking, contribution levels, draft charter, and kickoff negotiations. 364 369 372
National-Project Presentation Preparation	390	Prepared the Glutinous Rice Ball ecosystem's presentation materials and accompanied Su Niannian to Beijing for a major national project. 390
Expanded Product-Team Leadership	399	Obtained approval for additional hiring and was asked to recommend candidates for two director positions beneath her. 399
Origin Group Product Leadership	404	Retained responsibility for Source Code's products under Su Niannian, with Chen Jianye assigned a dotted-line reporting relationship to her during product development. 404

Background

Jiang Yixin was a fresh computer-science graduate with three campus-recruitment offers. She had initially chosen Celestial Pivot for its reputed work-life balance and requested a delayed start date, but applied to BugKiller's parent company after seeing its recruitment post. A devoted fan of NullPointer, she had followed his blog and watched BugKiller's public showdown with CodeSafe. 45

Her interview at Source Code Technology was tense: she recognized Han Luyi as NullPointer, became nervous, and was caught by a data-structures question in a weak area. Despite holding a 320,000-yuan annual offer from Celestial Pivot, she ultimately rejected it to join the small startup. 45 48

As a developer, Jiang was assigned cloud-platform adaptations and later helped build Open Things. During a naming discussion, she proposed the name “Open Things,” drawing on The Exploitation of the Works of Nature and its idea of making complex technology usable by ordinary people. 48 57

Dingsheng later attempted to poach her with a development-supervisor role and annual compensation exceeding one million yuan. After Source Code secured 200 million yuan in funding, she deleted the offer and returned to coding. 87 92

Following Zhao Lei's departure, Jiang voluntarily repaired and completed his unfinished caching module. Her uncertainty over her place in the increasingly structured company became a turning point: Han encouraged her to determine for herself what she wanted to do at Source Code, and she subsequently transitioned into product management. 96 97 102

As a product manager, Jiang learned to interpret user feedback as evidence of underlying needs rather than literal feature requests. Su Niannian's intensive revisions to Jiang's independent-deployment onboarding document taught her to account for user psychology, presentation, and failure cases instead of treating a product requirement like a technical specification. 102 106

Jiang later became the practical lead of the NeusAI collaboration and the overseas Kaiwu project. Her work included localization, English-language coordination, product comparisons, Mercury API documentation, and the management of cross-team delivery. 138 146

Alongside Qian Xiaole, Jiang developed an internal programming Agent that combined Heavenly Craft, BugKiller, Mercury, and a monitoring process. The project grew from an internal tool into the coding product eventually named Riding the Wind, for which she oversaw the closed beta, public controversy, public-beta launch, and subsequent enterprise-edition planning. 148 185 203 204 212 221

When Jiang discovered signs that NeusAI intended to replace Kaiwu after its contract expired, she proposed fallback API and migration options before learning that Han Luyi and Zhao Wenyuan had already prepared Glutinous Rice Ball as Source Code's in-house replacement. She was later tasked with coordinating the migration of Riding the Wind and Open Things to the new model. 187 188 250 252

Jiang's next major initiative was an AI-native personal growth system inspired by role-playing games and “system” web novels. She initially imagined quests, experience points, and achievements, but revised the design to avoid surveillance, employee rankings, and incentives to perform meaningless work. With Qian Xiaole and Glutinous Rice Ball's assistance, she developed a star-map framework that represented each user's individual growth through meaningful workplace behaviors. 280

The two built a working internal prototype over a weekend. Jiang tested it on herself, authorizing it to analyze her work traces and generate a career constellation. Its “Pioneer” profile reconstructed her progression from cloud adaptation to product leadership, prompting her to recognize the sustained effort behind accomplishments she had previously dismissed as luck. 281

Internal beta testing led to customizable fictional themes and further exploration of the system's “Skills” function. Qian Xiaole's extensive personal journals showed Jiang that the tool could support deliberate learning rather than merely describe existing abilities. Jiang then proposed reusable expert-level AI Skills to Han and Su, receiving approval to explore the concept and expand her team. The Growth Assistant was approved for company-wide use and named Deep Blue. 287 288 289 290

By the May Day holiday, Jiang was involved in Glutinous Rice Ball Chat's product leadership. Its dashboard showed 41.82 million registered users, 12.4 million daily active users, and over 58.6 million completed Agent tasks; by May 12, she reported that registrations had exceeded fifty million. She and Su reaffirmed that the product should remain a trustworthy Agent that gives users time back, rather than becoming an unfocused collection of conversational personas. 344 349 360

Following Dingsheng's decision to join the Glutinous Rice Ball ecosystem, Jiang was assigned to coordinate the Tangyuan Protocol Standards Committee's integration rules, service tracking, and contribution levels. She prepared a draft charter for legal review and led the committee's kickoff negotiations, refusing Dingsheng's attempts to obtain exemptions or voting rights based on promised contributions. 364 369 372

Jiang later accompanied Su to Beijing to present the Glutinous Rice Ball ecosystem as an AI-agent platform for a major national project. As the person most familiar with the ecosystem, she prepared the presentation materials, while Su took primary responsibility for presenting and answering questions. 390

As the product team expanded, Su approved additional hiring and proposed two director positions beneath Jiang. During the formation of Origin Group, Jiang retained her existing product responsibilities and direct reporting relationship to Su, now the group's executive president. Chen Jianye continued to oversee engineering implementation, with a dotted-line reporting relationship to Jiang during product development. Jiang welcomed the continuity of her role and saved a photograph of the new organizational chart. 399 404

Personality

Jiang is energetic, excitable, and openly enthusiastic about people and products she admires. She identifies herself as an ENFP and is known among colleagues for her endless energy, frequent use of Little Red Book, and habit of turning workplace moments into stories for her best friend. 63

She is highly loyal to Source Code and its mission. Although tempted by Dingsheng's million-yuan offer, she rejected it; she takes genuine pride in seeing users create applications with Open Things and considers helping users realize ideas meaningful work. 87 92

Jiang also struggles with insecurity as her responsibilities grow. She worries that she may be exposed as incompetent despite studying product design after work and repeatedly taking on more responsibility than required. Her promotion to Head of Product intensifies this impostor syndrome rather than immediately resolving it. 155 156

Her rapid ascent compounds this insecurity. As the young overall head of Source Code's product line, she manages colleagues with substantially more experience, works excessively to prove herself, and fears that her prior successes were accidental rather than evidence of her ability. 223 250

Despite her anxiety, Jiang is resilient and increasingly willing to accept public responsibility. She moved from nervousness over Riding the Wind's closed beta to taking charge of its launch event and successfully presenting the product before media, users, and colleagues. 203 210 212

Her playful side often appears in office gossip and matchmaking attempts involving Han Luyi and Su Niannian. She deliberately arranges seating, dishes, and conversation to encourage the two executives' relationship. 120 125

Designing the personal growth system restores some of the uncomplicated creative excitement she had lost under management pressure. Testing its “Pioneer” profile becomes an emotional turning point: despite knowing how the software generates its output, she is moved to tears by the real history of learning and perseverance it makes visible. 280 281

Jiang becomes increasingly attentive to AI's social consequences. The prospect of packaging professional skills into AI capabilities frightens her because of the potential displacement of workers. Qian Xiaole's example helps her shift toward a more constructive emphasis on adaptability, reflection, and using AI to accelerate genuine personal growth. 288 289

Her confidence develops into a firmer executive presence. She responds calmly when Liu Bo questions her seniority, asserts her decision-making authority, and refuses to exchange procedural safeguards for Dingsheng's cooperation. Li Wen later observes that her bearing has become much stronger and resembles Su's. 372 373 398

Jiang remains emotionally invested in her colleagues. After noticing Su's subdued behavior, she contacts Han out of concern. Seeing Han's affectionate relationship with Gu Siyue later upsets her hopes for Han and Su, and she worries that Su's overwork may reflect romantic distress. These are Jiang's interpretations of the situation rather than a confirmed explanation of Su's behavior. 349 360

She is also careful to preserve equality in her friendship with Liu Haoyu. After becoming wealthier, she avoids conspicuous spending and expensive gifts around her friend, and insists on splitting the bill at an upscale restaurant rather than establishing an uncomfortable financial imbalance. 360

Abilities & Skills

Fast Learning

Han Luyi's initial assessment identifies Jiang's special skill as Fast Learning, alongside the traits Curiosity and Drawing Inferences. 97

• Rapidly shifted from backend development to product management, then product leadership. 102 156
• Learned to move beyond user feedback's surface wording and identify the underlying user need. 102
• Developed product-strategy proposals within a morning after detecting Neus's likely competitive intentions. 187 188
• Adapted her product work to overseas coordination and English-language meetings. 122 146
• By the time of Riding the Wind's expansion, Han's assessment identifies Drawing Inferences as her special skill, with Curiosity, Product Intuition, and Big-Picture Awareness as her traits. 223
• Used Qian Xiaole's reflective work habits to reconsider the Growth Assistant's purpose, moving from passive skill recognition toward proactive personal development. 289
• Continued learning management principles from Su, including the value of delegation, intermediate management roles, and spending money to preserve valuable time. 390 399

Skill Assessments

Assessment	Chapter	Details
Initial Sight skill profile	97	Special skill described as Fast Learning or Rapid Learning; traits include Curiosity and Drawing Inferences or Learning by Analogy. Her Stability had fluctuated between A and B during early organizational changes. 97
Promotion assessment	156	Han observes Product S, Collaboration A, and Stability S before promoting her to Head of Product. 156
Later Sight skill profile	223	Her specialty is described as Drawing Inferences or Drawing Connections, with Curiosity, Product Intuition, and Big-Picture Awareness or Big-Picture Perspective. 223
Growth Assistant profile	281, 290	Receives the star-map inclination and character title Pioneer, based on her authorized work history and skill constellation. This is a software-generated representation of her development, not a supernatural advancement. 281 290

Software Development

Jiang remains technically capable despite moving into product management.

• Completed cloud-platform adaptation work and used AI assistance to accelerate development. 48 56
• Independently refactored Zhao Lei's caching module, resolving edge cases and unfinished TODOs. 96 97
• Built personal productivity scripts in college, including a course-registration automation script that examined requests, session logic, captchas, interfaces, and failure responses. 187
• Created the “Eight A.M. Digest” Lark bot with an Agent; it collects AI-industry news by keyword, summarizes relevant items, and sends them each morning. 187
• Manually modified the Digest's monitoring script to add Neus-related keywords and immediate alerts rather than using a Mercury-dependent Agent, avoiding the risk of exposing confidential business information. 188
• Graduated top of her computer-science class. Although she no longer commits business code to the company's main repository after becoming a product lead, she continues to use her technical background in automation and product development. 187
• Co-developed the Personal Growth System's working internal prototype with Qian Xiaole over a weekend. 281

Product Management

Jiang's product work centers on Open Things, its independent-deployment flow, the overseas Kaiwu project, Riding the Wind, Deep Blue, Glutinous Rice Ball Chat, and the Tangyuan Protocol ecosystem. 106 146 204 290 349 364

• Organized the top twenty commercial application scenarios by retention rate, user profile, and use frequency; eight were selected as template candidates. 100
• Led the user-onboarding-flow product document for Open Things' independent deployment. 106
• Learned to prioritize the user's real goal over literal feature requests—for example, interpreting custom-domain requests as a desire for ownership and control. 102
• Uses a desk-mounted user-story map and the reminder, “Think of the user first, then the features.” 137
• Coordinates three product managers and follows product decisions across Source Code's product lines. 187
• Analyzed the internal Agent's non-users instead of focusing only on high adoption, distinguishing between employees without relevant coding tasks and employees who did not want to use the tool. 204
• Planned Riding the Wind's closed-beta recruitment through BugKiller users and retained explicit limitations in the product messaging, including that it was recommended for low- to medium-complexity tasks rather than high-complexity cross-module refactoring. 204 205
• Began designing Riding the Wind's enterprise-edition access strategy after identifying demand from programmers whose employers prohibited its use. 221
• Directed the phased gray release of Glutinous Rice Ball for Riding the Wind, beginning at ten percent traffic, increasing to fifty percent after two days, and targeting a full migration by midweek. 252
• Learned to distinguish increased code production from end-to-end delivery improvement, identifying manual code review as the bottleneck after AI accelerated development. 180
• Added user-selectable character-title themes to the Growth Assistant in response to internal beta feedback. 287
• Researched real-world uses of large models for professional development and organized online user feedback with Glutinous Rice Ball, identifying hallucinations, weak domain expertise, unreliable retrieval, and limited conversational memory as product constraints. 290
• Evaluated conversational personas for Glutinous Rice Ball Chat and argued that companions, advisers, and other identities would dilute its focus as a trustworthy Agent. 349
• Was tasked with preparing external communications guidance and refining Glutinous Rice Ball Chat's tone without weakening its principles or safety standards. 349
• Recognized that rapid user growth magnifies the consequences of service failures, and later worried that heavy Chat demand on the Lingang cluster could delay the Glutinous Rice Ball 1.0 API launch. 344 404

AI Agent Development

Jiang and Qian Xiaole created an internal programming Agent by combining Heavenly Craft for code generation and execution, BugKiller's detection engine, Mercury's API for task planning, and a monitoring process. 147 148

• Demonstrated the Agent by having it add a functional dark-mode toggle to a settings page in thirty-one seconds. 148
• Designed the architecture so code analysis remains within Heavenly Craft while Mercury is limited to task planning, reducing data-leakage risk. 148
• Reported that the tool helped thirty developers merge 127 code branches in one week, compared with a previous weekly average of 47. 185
• Identified a current limitation: the Agent's first-submission pass rate is 67%, and roughly one-third of tasks still require manual intervention. 185
• Received authorization to make the Agent Source Code's highest-priority project and request resources directly from Su Niannian. 185
• Oversaw its transformation from an internal tool into Riding the Wind, a product that automatically breaks down development tasks, generates code, runs tests, and iteratively fixes issues. 204 205
• Treated high-complexity tasks, hallucinations, software determinism, and maintainability as product risks rather than assuming improved models would automatically resolve every concern. 206 209
• Led Riding the Wind's public-beta launch, including a live demonstration in which the product modified Riding the Wind itself by implementing robust branch-management capabilities. 212
• Prepared the Agent's closed beta using performance data showing strong low- and medium-complexity-task results but weaker performance on high-complexity work. 203
• During the public demonstration, explained a failed test rather than concealing it, allowing the Agent to diagnose and repair its branch-switching persistence error before rerunning the tests. 212
• Proposed AI Skills as reusable action scripts encoding expert workflows, decision processes, triggers, data sources, and output formats, intended to make imperfect general models more useful in specialized tasks. 290
• Identified context-window and long-term-memory limits from frontline application work on Riding the Wind and the Growth Assistant, including the loss of useful conversation continuity when a session becomes too long. 290

Personal Growth System and Deep Blue

Jiang designed the Personal Growth System, later named Deep Blue, to make meaningful professional development visible without turning it into employee surveillance or performance scoring. Qian Xiaole helped develop the prototype, while Glutinous Rice Ball contributed design analysis and the star-map concept. 280 281 290

• Replaced manual check-ins with automatic recognition of growth events from authorized workplace traces, reasoning that users would eventually stop recording routine activity by hand. 280
• Rejected crude measures such as working hours and message counts, raw-data exposure, employee rankings, and links to performance evaluations. 280
• Established that feedback should be private, challengeable, and optional; the prototype also excludes private communications and allows users to delete their records. 280 281
• Used Glutinous Rice Ball to examine conflicts between automation and privacy, accuracy and emotional safety, and gamification and distorted behavior. 280
• Moved away from fixed levels, leaderboards, and mechanical point allocation toward individualized achievements and an “Emergent Constellation” of actual abilities and growth events. 280
• Demonstrated through internal testing that meaningful changes in understanding, skill, and behavior—not grinding repetitive tasks—activate growth stars. 287
• Reframed the product after studying Qian Xiaole's years of reflective notes, seeking to help users grow proactively rather than merely identify who they already are. 289
• Presented internal satisfaction and motivation results to Han and Su, securing company-wide rollout while acknowledging that external commercialization would create substantial privacy and data-security challenges. 290

Competitive and Market Analysis

Jiang connects separate signals into product-risk assessments.

• Proposed establishing overseas public-opinion reporting and offered to assist due to her English ability; she scored 600 on CET-6. 122
• Detected Nexus's likely plan to develop a competing AI creation tool by combining an industry brief, a Nexus employee's LinkedIn post, and a relevant product-manager job listing. 187
• Proposed migration options for Kaiwu away from Mercury, prioritizing reliable APIs while considering cost, capability continuity, and open-source alternatives. 188
• Recognized overseas copycats as market validation rather than a reason to issue ineffectual public statements, and argued that Source Code should enter the overseas market quickly. 138
• Identified the strategic danger in NeusAI's proposed prohibition on using partnership data to train Source Code's own model, treating the clause as a vendor-lock-in attempt. 138
• Assessed Atlas as likely having borrowed heavily from Riding the Wind and considered the implications of positioning Riding the Wind as a broader platform tool. 223
• Recognized that major companies' hesitation to adopt the Tangyuan Protocol stemmed partly from fear of an ecosystem controlled by a single company, helping frame the need for shared standards governance. 364
• Considered the effect of AI on the market value of professional skills, including the lag between education decisions and changing industry demand. She used her own experience entering computer science before the graduate market became saturated as an example. 288

Leadership and Public Communication

Jiang has grown from an individual contributor into a product leader responsible for product direction, team coordination, and public presentation.

• Participated in product-manager interviews and independently onboarded Li Wen, including introducing the company's values and organizational structure. 155
• Led a cross-functional product initiative with the support of Liang Wei and the development team, gaining practical authority before her formal promotion. 146 156
• Worked with Li Ting to manage Riding the Wind's initial public-opinion crisis after criticism from CodeMonkey Old Zhang, while reassessing the product's risks. 206
• Accepted responsibility for hosting Riding the Wind's launch after Han and Su emphasized that the person who led and named the product should introduce it to users. 210
• Delivered Riding the Wind's keynote and live demonstration at Source Code's first annual meeting, overcoming severe pre-launch nerves. 212
• Received support to recruit additional staff for the AI Skills initiative, although taking greater responsibility for interviews initially made her uneasy. 290
• Asserted her authority at the Tangyuan Protocol Standards Committee kickoff after Liu Bo questioned whether she was sufficiently senior to lead. 372
• Refused exemptions from the ninety-day observation period and rejected advance voting rights based on projected contributions, insisting that rights depend on actual usage after services go live. 372
• Prepared the AI-agent ecosystem presentation for a major national project, carefully reviewing data and anticipated expert questions. 390
• Sought additional hiring funds and learned why two director roles beneath her could provide effective management interfaces without contradicting the purpose of a flat organization. 399
• Retained product leadership during Origin Group's restructuring, gaining a formal dotted-line relationship from the engineering lead while continuing to report to Su. 404

Relationships

• Han Luyi — Her CEO, former technical idol, and “Teacher NullPointer.” He advises her through career uncertainty, praises her growth, promotes her to Head of Product, and entrusts her with Riding the Wind's public launch. He later approves Deep Blue's company-wide rollout and exploration of her AI Skills proposal, and retains her product responsibilities within Origin Group. 45 97 156 188 210 212 290 404
• Su Niannian — Her direct supervisor and principal product mentor. Su teaches Jiang user profiling, product strategy, and how to identify users' underlying needs; she also supports Jiang through product leadership and model-migration work. Their mentorship later extends to product ethics, time management, delegation, and the practical demands of a growing team. Su reassures her before the national-project presentation that she will not have to face questions alone. 49 102 156 180 250 349 390 399
• Qian Xiaole — Product and development collaborator who co-created the internal programming Agent with Jiang. The two regard themselves as Riding the Wind's joint “mothers” and share enthusiasm for its launch. They later build the Personal Growth System together; Qian's long-standing habit of recording and reviewing her thoughts inspires Jiang to emphasize proactive growth and AI-assisted adaptability. 147 148 204 280 281 289
• Li Ting — Colleague and close workplace friend. The two discuss work, personality types, overseas publicity, milk tea, office gossip, and Riding the Wind's public-opinion crisis. Li also acts as Jiang's first informal tester for the personal-growth concept. Jiang misses their neighboring desks after moving into a private office at the new headquarters. 63 122 188 206 280 348
• Liu Haoyu / Big Liu — Jiang's best friend and frequent WeChat confidante, who receives her career updates, complaints, and celebrations. They were college roommates and share anime and gaming interests. Jiang offers an internal referral, but Liu prefers a large company with actual shares rather than uncertain options. She takes care not to let her growing wealth upset the equality of their friendship. 50 92 155 344 360
• Chen Jianye — Senior technical colleague who initially disparaged her as a new graduate; they later work as fellow department heads and debate the effects of AI Agents on development quality. Under Origin Group's new structure, Chen continues to lead engineering implementation and has a dotted-line reporting relationship to Jiang during product development, a change she privately welcomes. 48 175 204 404
• Liang Wei — Development-team leader who supports Jiang's work as project lead on the NeusAI collaboration. His technical feedback and support help her earn credibility as a product manager who understands code. 106 146
• Li Wen — A more experienced new hire whom Jiang interviewed and onboarded, making her acutely aware of the challenges of managing colleagues older and more experienced than herself. He later presents Source Code's proposal at the standards committee kickoff, worries about the consequences of her firm stance toward Dingsheng, and recognizes how much her executive presence has developed. 155 372 373 398
• Zhang Biao — Colleague whom Jiang assists with using Glutinous Rice Ball to draft a data-center business letter. She teaches him to provide relevant background and context rather than relying on a cold, generic AI-generated message. 190 192
• Liu Huo — Han Luyi's secretary, whose preparation of materials related to NeusAtlas's potential plagiarism impresses Jiang and prompts her to consider the value of having a secretary of her own. She later contacts him to arrange a discussion of the Growth Assistant's next development direction. 223 289
• Zhao Wenyuan — Model-team leader with whom Jiang coordinates Glutinous Rice Ball's availability and integration. Her initial impression of him as the CodeSafe expert defeated by Han improves after Heavenly Craft's results, and she later obtains model documentation and access from him for the migration project. 137 223 250
• Glutinous Rice Ball — An AI tool Jiang uses for research, product design, and reflective work. It helps identify the Growth Assistant's design conflicts, proposes the constellation framework, and organizes feedback for her AI Skills research. Its growth profile also helps her recognize the substance of her own achievements. 250 280 281 290
• Little Yang and Little Niu — Internal Growth Assistant testers whose customized profiles and growth events provide product feedback. Their enthusiasm contributes to the proposed name “Deep Blue,” and Little Yang's question about skill points prompts Jiang to investigate whether AI could help users acquire new abilities. 287
• Gu Siyue — Company lawyer whom Jiang initially knows mostly by sight. After observing Gu's affectionate relationship with Han at a restaurant, Jiang becomes awkward about attending a legal meeting with Gu and Su together. They meet professionally during review of the Tangyuan Protocol Standards Committee's charter. 360 369 370
• Liu Bo — Dingsheng representative who challenges Jiang's seniority and tries to pressure her into procedural concessions at the standards committee kickoff. Jiang rejects his demands and tells him he is free to leave when he threatens to halt progress. 372
• Song Jianing — Origin Group's newly introduced chief legal officer. Jiang intends to introduce herself after the restructuring meeting because product work frequently requires legal and compliance support. 404

Notable Quotes

“Users don't need to understand code. They just need to state their ideas, and Open Things helps them make them real.” 57

“Bold fool! Do not disturb my Dao heart! Begone at once, for this venerable one must code!” 92

“This isn't blind worship. It's a lesson from experience.” 188

“I'll do it well!” 210

“I hope Riding the Wind will ensure that no one walking alone is ever lonely again. Ride the wind, and let everyone soar like dragons.” 212

“Using large models to create reusable expert-level skills.” 290

“They didn't come here to negotiate in good faith.” 373

Trivia

• Jiang was initially such an intense NullPointer fan that classmates compared her recommendations of his blog to religious preaching. 45
• She maintains colorful sticky-note user-story maps at her workstation. 137
• She quietly remembers colleagues' food preferences as a social habit, believing it helps people feel valued. 106
• Her college course-registration script became so effective that students from other departments complained that Film Appreciation had been monopolized by computer-science students. 187
• She wore a custom yellow qipao to present Riding the Wind at Source Code Technology's Republican-era-themed first annual meeting. 212
• Li Ting describes Jiang as the “face of Source Code Technology” following Riding the Wind's successful launch, a label Jiang finds embarrassing. 213
• Her Growth Assistant profile identifies her as a Pioneer, describing her as a torchbearer who enters unknown territory before its rules become clear. She still holds that title when presenting the prototype to Han and Su. 281 290
• After crying during her first Growth Assistant test, she checks her makeup and conceals the evidence before city officials arrive for an inspection. 281 282
• At the new headquarters, she receives a private office with glass walls, a visitor sofa, a large plant, and a bookcase, but misses sitting beside her friends in the old Qiantan office. 348
• She uses Glutinous Rice Ball Chat's image recognition to identify a French terrine appetizer and learn how to eat it while dining with Liu Haoyu. 360
• She observes Han and Gu's restaurant encounter through a makeup mirror positioned beside her water glass, prompting Liu to ask whether she is on a secret mission. 360
• Her first business-class high-speed-train journey is the trip to Beijing with Su for the national-project presentation. She initially queues with the general crowd because she does not know about the ticket's priority-entry and lounge privileges. 390
• She photographs Origin Group's organizational chart as a memento of seeing her name at that level, while privately regretting that Chen Jianye's dotted-line relationship to her is not drawn on it. 404
• The confidential announcement of preparations for a Hong Kong IPO renews her hopes about the future value of her stock options, after learning that they are not immediately spendable cash and depend on exercise, liquidity, and lockup conditions. 404

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