25 Feb 2025 | Right Firms
If you are new to software development, knowing where to start is the most challenging part of learning programming. Several hundred programming languages are used daily, each with quirks and challenges.
The best news is that as you begin your career as a software developer, you’ll start to learn the best coding language for your interests and goals.
This blog post will cover the most in-demand programming languages and how to learn them to kickstart a coding career.
A programming language is a set of instructions written in a particular syntax to tell a computer what to do and how to do it. Mastering a programming language will enable you to create software applications, websites, and other digital tools shaping our world.
There are many different programming languages, each with unique advantages and disadvantages, so consider this when choosing the best ones to learn.
The main categories of programming languages are as follows:
Languages for procedural programming: These languages decompose issues into sequential steps. Typical examples are Pascal, C, Cobol, and BASIC.
Functional programming languages focus on altering data structures without changing existing data to provide more predictable results. Some well-known functional languages include Scala and Haskell.
Programs in object-oriented programming languages are structured around objects that hold information (properties) and actions (methods). Python, Java, and C++ are well-known examples of this object-based methodology.
Scripting and dynamic languages are lightweight programming languages frequently used to add interactivity to web pages or automate processes. Two popular scripting languages are JavaScript and Ruby.
Logic programming languages use logic and reasoning to solve problems. They offer a distinct method for solving issues and are frequently employed in applications involving artificial intelligence. Prolog is a well-known example of a logic programming language.
As more than 700 programming languages are available, you probably want to know which is best to learn. Ultimately, your decision will be influenced by your professional objectives, skill level, and the languages companies use in their workplaces. These are the top 15 programming languages to learn in 2025 to get you started.
With increasing demand for dynamic web applications, becoming a professional software developer is nearly impossible without learning JavaScript. According to Stack Overflow’s 2024 Developer’s Survey, JavaScript is the most popular programming language among developers for the eleventh year in a row, with 62% of survey respondents reporting that they had used it the past year.
Most of the most visited sites on the web, including Facebook, Twitter, Gmail, and YouTube, use JavaScript to develop interactive web pages and dynamically display content to users. The extensive list of applications makes JavaScript one of the finest programming languages to learn.
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JavaScript engineers typically make around $116,340 a year, as per Indeed Oct 2024.
Python is arguably the most accessible programming language on this list. Its syntax is straightforward and intuitive, particularly for English speakers, since it follows grammar rules. This makes it a favourite among beginners looking for the best programming languages to learn for themselves.
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Average Salary: Python developers earn around $125,102 per year as per Indeed Oct 2024
In addition to Python, SQL coding is crucial to effectively using data in web applications and is, therefore, among the best programming languages to learn. While other coding languages are on our list, SQL explicitly allows storing, retrieving, and manipulating data in a given relational database.
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The average Salary as per the Glassdoor June 2024 is $116,507.
Swift has become the popular language for creating contemporary iOS, iPadOS, macOS, watchOS, and tvOS applications. Apple introduced Swift in 2014, a new programming language to develop iOS and macOS applications. Swift has been optimised for performance and built from the ground up to match the realities of modern iOS development, making it one of the best programming languages to learn for aspiring iOS developers. These developers will likely remain in demand as Apple products remain the most profitable mobile app marketplace.
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Mean Salary: $119,319 (Indeed, Oct 2024)
Java is still a leader in programming, particularly for enterprise software development. Its write-once, run-anywhere concept and mature environment make it a go-to option for developing large-scale applications such as servers.
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Average Salary as per (Indeed, Oct 2024) $91,234
Only you can answer the question of the best programming language to learn for your career aspirations. Your choice should be based on your career interests and whether you want to develop front-end or back-end web-based software. In brief, this is what we have discussed so far:
Computer programming is a fast-changing field; however, the languages above bear much staying power. Learning one or more of them will place you in an excellent position this year and for years. Once you master one programming language, learning a second language will likely be easier since you can draw on existing knowledge.
Many creative agencies operate in a constant state of barely organized chaos. Barrages of client requests, constant revision loops, scattered messages across multiple platforms -- it can cost a lot in terms of time, energy, and money. Missed deadlines, duplicated work, scope creep and frustrated clients can often follow. But those frustrated customers are often merely symptoms of a bigger problem: the lack of a unified system to deal with all these disparate elements. The answer? A well-configured service desk system. A good service desk doesn't just facilitate and streamline support -- it becomes the operational backbone of your agency. With the right setup, you can wrangle that chaos into an efficient, smooth-running machine that generates satisfied customers and happier teams. With that in mind, here are 10 service desk efficiency hacks every creative agency should be using -- but most aren't. 1. Automating Repetitive Tasks Macros and triggers are two of the most powerful automation tools in existence, and many creative agencies don't make good use of them. Instead, they answer the same questions, send the same reminders, over and over. Setting up pre-written replies to common queries and triggers to automatically route certain types of communication (bug reports, revision requests) to the right people can be a godsend. You can also use automation to add tags, set priorities, and assign tasks without anyone having to do anything. 2. Using AI-Powered Ticket Triage Simply put, email threads are where high-priority threads go to die. The chances of something getting lost or missed is far too high. By using AI-powered triage, you can avoid this issue. AI-enabled service desk software can categorize and prioritize incoming requests instantly, fast-tracking time-sensitive issues and putting lower-priority items further down the queue where they belong. That was, nothing important slips through the cracks. 3. Building a Searchable Knowledge Base One of the great perks of a service desk system is how much work it can save you -- but only if you build it up correctly. By having a searchable knowledge base on hand, you can put all your creative guidelines, process docs, technical templates, and workflow instructions in one place, so no one has to ask where they are. 4. Implementing Self-Service Portals Likewise, you can use your service desk to reduce repetitive and simple questions from clients. A self-service portals lets your clients submit briefs, request revisions, download assets, check project status, and review communications all on their own without having to call or email. This saves time and reduces workload, and everyone gets fewer emails: win-win. 5. Standardizing Workflows One of the biggest sources of friction between clients and creative teams is the lack of standardization. Integrating service-level agreements (SLAs) and escalation rules help create the necessary consistency and transparency to avoid the worst of this. Set SLAs for such things as revision turnaround times, approval deadlines, and delivery estimates. Pair those with escalation rules that automatically alert account managers when deadlines approach. This does a lot to keep everyone on the same page. 6. Consolidating Communication into One Platform Creative agencies are often juggling a multitude of communications channels (email, Slack, Teams, etc.) This can easily lead to lost messages and duplicated work -- and the aforementioned chaos ensues. By consolidating everything into one unified platform -- your service desk -- you can view those conversations all on a single dashboard, saving yourself a lot of headache. 7. Using Tags and Categorization Tags are one of the most useful and essential features in service desk software, and yet they're also one of the most underused. Categorizing your tickets by client, department, project type, priority or revision count is one of the most powerful things you can do for your efficiency. It gives you valuable data you can use to refine processes, improve onboarding, and make pricing or staffing decisions. 8. Introducing Automated Follow-Ups Every creative who works professionally likely knows the pain of chasing down a client to try to get approvals or missing-but-necessary assets. Once again, this is where automation comes to the rescue. You can use automation to send reminders when clients need to approve artwork or deliver assets, and trigger a friendly "closure" message after the issue is resolved. This keeps communication flowing without the constant need for awkward nudging. 9. Integrating PM Tools and Service Desk Software Ideally, your service desk software shouldn't exist in a vacuum. By integrating it with a project management tool like Trello, Monday, or some other PM software, you can ensure that every incoming request or query becomes a trackable task. This improves collaboration between your writers, designers, editors, and developers, and ensures everyone sees the same deadlines and project priorities. 10. Review Analytics Weekly One of the best ways to avoid problems is to see them coming rather than merely reacting to them. A properly configured service desk will gather all sorts of metrics, from average response time and revision volume to top clients and bottleneck stages. By reviewing these metrics weekly, you can glean insights to help you resolve issues before they become a major concern.
Deciding whether to build an in-house team or hire an external agency is one of the most important strategic choices a SaaS startup makes. The right decision affects speed, cost, scalability, and ultimately your return on investment (ROI). While many founders ask “Should we bring marketing, demand-gen, or growth in-house or go agency?” the clearer answer often lies in the numbers and business stage. In this guide, we’ll walk through the data and qualitative factors that SaaS startups should weigh when comparing agency vs in-house. We will cover cost comparisons, speed to results, expertise and scale. At the end you’ll have a framework to decide what may offer the strongest ROI for your current stage. Why ROI Matters in SaaS Early-Growth For SaaS startups, every dollar spent needs to show impact, and quickly. Investors, boards, and founders alike monitor metrics such as cost per acquisition (CPA), lifetime value (LTV), churn rate, and growth velocity. Marketing or growth spend that doesn’t deliver compounds the risk. A recurring finding: startups that outsource marketing or demand generation to a specialist agency often report higher ROI than those building from scratch in-house. For instance, one article cites that businesses outsourcing part of their marketing saw “43% higher ROI” than those handling everything in-house. Another study suggested agencies deliver faster time to market, access to specialised skills, and capability to scale up quickly. Given this, it’s less about “agency good vs in-house good” and more about “which approach offers the best fit for your stage, budget, goals and risk appetite?” Comparing the Costs: Agency vs In-House 1. In-House Model: Building a full in-house growth or marketing team involves not just salaries. You must factor in recruitment cost, onboarding, training, tools & tech stack, employee benefits, time to productivity, and ongoing management overhead. A startup might hire a growth lead, content specialist, paid-media manager and data/analytics resource. The recruitment alone can take weeks or months. 2. Agency Model: Hiring an agency offers a different cost model: you typically engage a team with existing proven systems, tools and workflows. The incremental cost is often predictable monthly retainer or project fee without many of the fixed costs of full-time employees (benefits, infrastructure, long ramp-up). Many startups benefit from faster ramp and quicker access to specialist expertise. 3. Cost vs Value: The real question is not just “which costs less” but “which delivers more value for that spend”. One SaaS-oriented agency article mentions that an agency might cost $120k/year yet deliver $1m in revenue, a far better return than a single in-house hire with limited scope. For a SaaS startup, this means: if you hire an agency that can accelerate lead acquisition, refine funnel conversion and help scale trial-to-paid conversions, the ROI equation may favour agency in early or scaling phases. Speed, Expertise and Scale: Key ROI Levers 1. Speed to Market: Agencies often have established processes, tools and specialists on hand, meaning a quicker launch of campaigns or growth initiatives. In-house teams require hiring, alignment, ramp-up, and iteration. Delays cost money especially in SaaS where early traction matters. 2. Access to Expertise: In-house you may get strong alignment and integration with your product, but you risk skill-gaps (e.g., SEO, paid media, analytics, funnel optimisation). An agency often brings a full stack of skills, cross-industry experience and optimisation frameworks. 3. Scalability and Flexibility: As your SaaS startup grows, needs change quickly. Agencies enable you to scale up (or down) spend and resources more easily than hiring or firing staff. If you build in-house too early, you risk over-capacity or being locked into fixed overhead. 4. Control, Brand & Culture: One real trade-off: in-house teams have deeper brand immersion, easier access to product teams and tighter alignment with company culture. If your SaaS product is highly complex, technical or requires deep domain knowledge, this may favour in-house. Data-Driven ROI Comparison (Hypothetical SaaS Scenario) Here’s a simplified example to illustrate the ROI dynamics for a SaaS startup in early scaling phase. ModelAnnual CostProjected Incremental RevenueROI MultipleAgency (retainer)US$150,000US$1,000,000~6.7×In-House TeamUS$250,000*US$800,000~3.2× *Includes salaries + benefits + tools + onboarding. In this scenario the agency model gives higher ROI multiple and faster value generation.Of course your actual numbers will vary – cost of living, your region, your market, complexity of product, sales cycle, etc. The key takeaway is to evaluate both models as investment vehicles, measuring cost versus incremental revenue, not just fixed cost. When In-House Makes More Sense for a SaaS Startup Agencies are strong in early-to-mid growth, but there are times when in-house may be the right long-term choice: You have a long product-roadmap requiring deep product-marketing alignment and continuous content tied to brand narrative. Your SaaS model is very niche, technical, or compliance-heavy, needing internal domain specialists and tight control of messaging. You have stable budget, strong leadership and need deep institutional knowledge built within the team. You’ve already hit maturity and want to shift from growth spurt to optimisation, owning the full marketing engine. A Hybrid Approach: Best of Both Worlds Many SaaS startups adopt a hybrid model: core strategy, brand and product messaging stay in-house, while specialised execution (paid media, content scaling, growth experiments) sits with an agency. This allows you to benefit from speed and expertise whilst building internal capability and brand continuity. How to Evaluate for ROI: Checklist for SaaS Founders Use the following questions to evaluate whether they point you toward agency or in-house: What is our growth stage and urgency? Early traction vs steady growth. What specialist skills do we lack today? If many, agency may close gaps faster. How fast do we need results? The shorter the time to impact, the more agency makes sense. What is our budget and burn-rate tolerance? Can we absorb overhead of team? How brand- and product-specific is our messaging? The more unique, the more in-house may benefit. What is the cost per hire, training time, and ramp-up time of in-house? What results can we demand from an agency? Clear KPIs, incremental revenue, transparency. Why RightFirms Matters in This Decision As a SaaS founder searching for a trusted business listing platform, you’ll also want to evaluate agencies with credibility and transparency. At RightFirms we curate and review agencies so you can see past claims and find partners with proven results. Being able to benchmark agencies, see case studies and compare their performance helps ensure you’re investing for ROI, not just promise. Final Thoughts The question is less whether agencies are better than in-house, and more whether your startup’s stage, capability and budget make one model clearly superior in ROI terms. For many SaaS startups in early or scaling phases, an agency offers faster access to expertise, lower overhead, and quicker time to value. But that does not mean in-house is wrong, it simply means you must understand the full cost, ramp time and strategic implications. If you treat marketing or growth as an investment rather than a cost centre, you frame the decision in terms of returns. Hire the model that drives the highest incremental revenue for your startup right now, with the flexibility to evolve as you grow.
Finding the right tech partner in 2025 is not just about price or portfolio anymore. It is about finding the right fit. The kind of partner who understands your business goals, your market timing, and the reality of digital transformation. If you are a startup founder, product manager, or business leader looking for a reliable software development partner, this checklist is for you. Here is how to evaluate your options before making the final call. 1. Start with Reputation, Not Just Ratings Everyone checks reviews. In 2025, that is only the starting point. The real test is credibility that goes beyond simple star ratings. Visit online business directories such as RightFirms, Clutch, or GoodFirms and look for patterns: Are the reviews detailed and written by real clients? Do they mention collaboration, flexibility, and innovation? Are they listed under verified categories like “Top Web App Development Companies” or “Best Mobile App Developers”? A trusted presence on business listing platforms shows that the company is established and recognized by industry experts. Pro tip: Be cautious of perfect 5-star ratings. A few mixed reviews often signal genuine client experiences and transparency. 2. Evaluate Communication Early Even the best developers cannot make a project successful if communication breaks down. Before signing any contract, pay attention to how they interact during the first few calls.Ask yourself: Do they explain technical points clearly? How fast do they respond to messages? Are they genuinely interested in your goals or just trying to sell services? The best development companies in 2025 act more like collaborators than vendors. They ask smart questions, highlight potential risks, and focus on your long-term success. 3. Verify Technical Depth, Not Just Fancy Claims Tech marketing in 2025 is crowded with buzzwords. Everyone says they use AI or blockchain. You need evidence, not slogans. When assessing a software development partner, check: Their technical specialization and core stack. Case studies with measurable outcomes. Their development methodology, such as Agile, Scrum, or hybrid models. The goal is to find a partner who can apply technology strategically to meet your business objectives. 4. Check Cultural Compatibility Culture fit matters just as much as technical skill. If your business moves quickly and your partner relies on heavy processes, frustration will build. Likewise, if you value structure and documentation but they move too informally, collaboration becomes messy. Ask questions like: How do they handle feedback and project delays? Do they operate in compatible time zones? Are they open to collaboration tools and regular updates? A top-rated professional tech partner adapts to your style and maintains alignment throughout the project. 5. Insist on Transparent Pricing and Contracts Budget talks can be uncomfortable, yet clarity here is essential. Ask for a detailed cost breakdown that includes maintenance, support, and testing. A trustworthy partner will not hide behind vague pricing. Pro tip: Look for affordable web and app development services that maintain quality standards. Avoid companies that are too cheap or overly expensive. The right balance gives you both value and reliability. 6. Ask About Post-Launch Support Some companies deliver projects and then disappear. You need one that stays. Before signing, confirm the following: Do they provide ongoing maintenance or support plans? How do they manage bug fixes or scaling? Can they work with your internal team after deployment? A reliable tech partner treats your product as an evolving system. They offer long-term support and continuous improvement. 7. Assess Their Problem-Solving Approach No tech project runs perfectly. APIs fail, requirements change, and users behave unexpectedly. A great partner stays calm under pressure. During your evaluation, notice how they handle hypothetical challenges: Do they offer structured solutions or general reassurances? Have they solved similar issues before? Can they provide proof or examples? The best companies are transparent about risks and ready with alternatives. That kind of mindset is worth every penny. 8. Prioritize Experience in Your Industry Experience within your domain saves time and reduces risk. If you are in healthcare, check whether they know compliance standards like HIPAA or GDPR.For retail, confirm their expertise in scalability and inventory systems.For SaaS or startups, explore how they handle user onboarding and integrations. When a company understands your industry, you avoid unnecessary explanations and gain faster results. 9. Review Their Proposal Carefully Proposals reveal how much a company truly understands your needs. A solid proposal should include project scope, timeline, team structure, and key milestones. If it feels generic, that is a red flag. A strong tech partner will personalize every detail to your business goals. Generic documents often signal a lack of genuine understanding or effort. Look for partners who invest time in preparing a meaningful proposal. 10. Look for Real Social Proof Do not stop at website testimonials. Check their LinkedIn activity, client mentions, and shared project stories. A company that consistently posts case studies and thought leadership content usually values transparency and community learning. These are the kinds of teams that grow with you. Final Thoughts Choosing a tech partner in 2025 is like choosing a long-term teammate. You are trusting them with your product, your deadlines, and your business reputation. Take your time to verify their reputation through directories like RightFirms, review their communication style, and assess their expertise thoroughly. The right partner will not just deliver your project. They will help shape your digital future.
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